We are now recruiting for two technician positions for the EVAL-FARMS project.
- Closing Date
- Friday, 28th October 2016
- Job Type
- Technical Services
- School of Biosciences – Technical Services
- £22249 to £26537 per annum (pro rata if applicable), depending on skills and experience. Salary progression beyond this scale is subject to performance
Applications are invited for the above full-time and part-time posts which are based within the School of Biosciences at the Sutton Bonington Campus.
The post is to provide technical support on a NERC funded research project “Evaluating the Threat of Antimicrobial Resistance in Agricultural Manures and Slurries”.
The role holder will assist with the collection of soil & slurry samples & processing the samples for microbiological, genomic, wet chemistry & water quality indicators and will require working off-site.
Duties will include:
- Processing samples for further analysis by LC-MS, ICP/AAS, PCR and microbiological analysis and culture,general microbiological analysis & culture at ACDP 2,assessing water quality indicators using UV vis spectrophotometer
- Ensuring stocks & equipment in own areas of responsibility are maintained & available for use.
- Maintaining a safe working environment in accordance with statutory & University Health & Safety procedures.
Full details can be found in the job description.
Candidates must have a HNC in a relevant subject or equivalent qualifications plus considerable relevant technical/scientific experience OR substantial work experience in a relevant technical or scientific role.
Candidates should have experience of working with ACDP 2 pathogens and proven technical and/or experimental expertise in techniques for water quality analysis including filtration, COD analysis, molecular biology & PCR technologies.
These posts are available as soon as possible on a fixed-term contract for a period of 15 months.
Informal enquiries may be addressed to: Dov Stekel tel: 0115 9516294 Or email firstname.lastname@example.org. Please note that applications sent directly to this email address will not be accepted.
The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community.
The University of Nottingham has advertised for its internally funded Research Fellowships (all applicants) and Anne McLaren Fellowships (women only). If you are interested in a fellowship in computational biology, biostatistics or related area, please be in touch. These are three year fellowships that could lead to a permanent academic post.
The competition is highly competitive – I know this as I have once sat on our School panel – so it is only worth applying if you have an excellent doctoral and post-doctoral track record: you will need excellent first-author papers in top journals to be succesful. You would also need the support of the school, so it is very important to be in touch if you are interested.
So, if you think you could be interested, please be in touch, and include links/pdfs of your two best first author papers.
Research Associate/ Fellow
- Closing Date
- Friday, 8th February 2013
- Job Type
- Research & Teaching
- School of Biosciences – Division of Agricultural & Environmental Science, Multidisciplinary Centre for Integrative Biology
- £24766 to £29541 per annum depending on skills and experience, minimum £27,854 per annum with relevant PhD.
This full-time post is available on a fixed term contract for a period of two months.
Applications are invited to join a highly motivated multi-disciplinary team of research scientists working the Universities of Nottingham and Birmingham. The successful candidate will join a jointly funded project to carry out modeling of occludin trafficking during epithelial polarization and wound healing. The post could be located either in the School of Biosciences at the University of Nottingham’s Sutton Bonington Campus, or at the School of Biosciences at the University of Birmingham.
The work will include (i) developing a mathematical models (using ODEs) to describe the turnover of occludin protein in the cell as well as the kinetic trafficking of occludin between cellular compartments; (ii) to estimate model parameter values from experimentally derived data using Monte Carlo Markov Chain approaches; and (iii) to iteratively improve the model, with cycles of model and data comparison, in order to provide greater certainty about the important mechanisms involved that can explain the experimental data. Other duties will include contributing to publication of this research in peer-reviewed journals, contributing to writing of research grant applications, and generally collaborating between disciplines and institutions.
The successful candidate must have a PhD or equivalent in mathematical modelling or statistics or a related area. Research experience within a mathematical biology or systems biology research area would be desirable but not essential. Candidates must to be able to demonstrate excellent mathematical ability, especially in the areas of ordinary differential equations and statistical analysis of data; experience of application of these skills to biological research would be desirable. Candidates must also be able to evidence excellent computing skills in a suitable environment (e.g. R or Matlab). Excellent English language oral and written communication skills are also essential. This post will require the person appointed to be able to work independently and as part of a multi-disciplinary team, to be motivated, flexible and willing to learn.
Full details, including how to apply, can be found on the University of Nottingham’s vacancy system.
Informal enquiries may be addressed to Dr Dov Stekel, email: email@example.com or Dr Josh Rappoport, email: firstname.lastname@example.org.
Are you an international student interested in studying for an MRes or PhD in Bioinformatics or Systems Biology? Would you like to join my group at the University of Nottingham? We have a wide range of projects available looking at microbial gene regulation.
Details of all Masters and PhD scholarships can be found here:
In particular, for potential PhD students, there are
If you are interested in coming to study with us and applying for one of these scholarships, please be in touch, sending CV and short paragraph describing your research ambitions.
School of Biosciences, University of Nottingham
One Year Masters by Research into Mathematical / Computational Analysis of Phenotype Responses of Brewers’ Yeast
Applicants are invited for a one year MRes co-sponsored by the University of Nottingham and an industrial partner into mathematical / computational analysis of phenotype responses of brewers’ yeast. The project will be under the supervision of Dr Dov Stekel and Professor Katherine Smart and will be part of the MRes in Brewing programme. It will be located in the attractive Sutton Bonington campus, and the researcher will be part of dynamic research communities in both brewing and mathematical/computational biology. The studentship would particularly suit someone with a strong mathematical or computing background with an interest in becoming engaged at the interface with high impact biological research.
Specifically, the research will include: (i) constructing mathematical models using ordinary differential equations for fitting data from Biolog™ phenotype arrays; these models may include complex lag phases, diauxie and other biological phenomena. (ii) Development of an inference scheme to identify model parameters and enable robust automated model choice; this will include use of Markov Chain Monte Carlo techniques. And (iii) application of these methods to data derived from Biolog™ phenotype arrays applied to brewers’ yeast in collaborative projects aimed at improving beer fermentation.
Applicants must hold or be about to complete a first degree in a relevant quantitative subject, for example mathematics, statistics, computer science or bioinformatics, with a minimum grade of 2.1 or equivalent. They should be familiar with ordinary differential equations and knowledge of probability or statistics would be helpful. Applicants must also be able to evidence aptitude for computer programming in a suitable high level language (e.g. C++ or Java) and/or a statistical programming language (e.g. R). This Masters project will require the person appointed to be highly motivated to become engaged in biological research, to work independently and as part of a multi-disciplinary team, and be willing to learn. Excellent English language written and oral skills are also essential (minimum level for overseas students IELTS 6.0 with no less than 5.0 in each element or TOEFL score of 550, 212 for computer based tests, with at least 4 in the Test of Written English. For this scholarship, preference will be given to candidates with scores well above the minimum requirements).
We are able to offer a full scholarship to a UK or EU student that would cover all fees and include a stipend of £13,590 for the year. Candidates from outside the EU will need to find funds for the additional fees costs.
Candidates should send a detailed CV, including university grades and predicted grades, together with the names and contact details of two referees, to dov.stekel [AT] nottingham.ac.uk by 13th May.
We have received good news that brewing company SAB Miller, together with the University of Nottingham, have agreed to fully fund a one year full time Masters by Research (MRes) into mathematical / computational analysis of phenotype data for brewers’ yeast, to be supervised by myself and Professor Katherine Smart. We will be able to offer a funded place – including all fees and a full stipend – to a home or EU student (applicants from outside the EU will need to make up difference in fees) – to start either during the summer or the next academic year. Further details will follow.
Research Associate/Fellow – Mathematical Modelling
- Reference: SCI921
- Closing Date: Friday, 4th February 2011
- Job Type: Research & Teaching
- Department: School of Biosciences – Multidisciplinary Centre for Integrative Biology (MyCIB)
- Salary: £24253 to £32620 per annum depending on skills and experience (£26,523 maximum without PhD)
- Based on our Sutton Bonington Campus, this post is available from 4th April 2011, or as soon as possible thereafter and will be offered on a fixed-term contract for a period of 33 months.
Applications are invited for the above post to join a highly motivated multi-disciplinary team of research scientists working at the University of Nottingham. The successful candidate will join a BBSRC-funded project using synthetic biology/modelling approach to improve bioluminescent reporting, molecular characterisation and exploitation of bacterial cell-to-cell communication as an antibacterial target. Long-term impacts include aiding the development of novel antibiotics targeted against important diseases such as MRSA, and the reduction in the use of animal experimentation. Details of the objectives of the grant (lay and technical summaries) can be read on http://wp.me/pVP7y-1P.
The work will include: developing mathematical models using ordinary differential equations; developing statistical inference schemes and software embedding the mathematical models (using Monte Carlo Markov Chain and/or other appropriate techniques); applying the methods to experimentally derived data; disseminating the software through appropriate open-source channels for general use. Other duties will include publication of this research in peer-reviewed journals and presentations at national and international conferences.
Candidates must have a PhD (or be awarded before or within the first six months of the employment start date) in mathematical modelling or statistics or systems biology or a related area. Research experience within a mathematical biology or biostatistics research area would be desriable but not essential. They must to be able to demonstrate excellent mathematical ability, especially in the areas of ordinary differential equations and probability; experience of application of these skills to biological research would be desirable. Candidates must also be able to evidence good computer programming skills in a suitable high level language (e.g. C++ or Java) and/or a statistical programming language (e.g. R). Excellent English language oral and written communication skills are also essential. This post will require the person appointed to be able to work independently and as part of a multi-disciplinary team, to be motivated, flexible and willing to learn.
Informal enquiries may be addressed to Dr D Stekel, Email: email@example.com. Please note that applications sent directly to this Email address will not be accepted.
To apply for this position, please follow the link from the University of Nottingham vacancies web site at http://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI921.