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with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants will be educated to degree level or have equivalent professional experience in
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determined by the funding available. About you You should hold, or be near completion of, a PhD/DPhil in Molecular Microbiology, Biochemistry, Biophysics or related discipline. You must have substantive
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of cells and modules in realistic drive cycle scenarios. This activity will link closely with the design of BMS and cooling systems to maximise the safety of the developed propulsion system. You should
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hypotheses as appropriate, and contributing ideas for new research projects. It is essential that you hold a PhD/DPhil (or close to completion) in a relevant scientific discipline such as molecular biology
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to serve as components of such a vaccine, as well as to assist eventually with the design of the vaccine itself and liaise with appropriate partners to conduct clinical trials. The University of Oxford is
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, informing experimental design and ultimately suggesting interventions to improve patient outcomes. You will join a computational biology team that collaborates closely with clinicians, molecular biologists
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the field Ability to independently plan and manage a research project Ability to effectively communicate and work within an inter-disciplinary team Benefits of working University employees enjoy 38 days’ paid
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assistance towards visa renewal fees. These activities are designed to promote physical and mental wellbeing among staff members. Please visit our website to find out more about the Department. About you You
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for their expression in plant colonizing bacteria and integrating them into the chromosomes of appropriate chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression
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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches