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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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dynamic strain and flow fields during flight. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. Desirable competencies would include
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to develop coupled sub-models within a system dynamics framework. Working with colleagues from the Karlsruhe Institute of Technology, the candidate will build a behavioural sub-model using the CRAFTY GB model
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Safety aspects of the work to agreed standards. Accurately record results, providing analysis and presenting findings to academic colleagues. Be able quickly to adapt and transfer skills to new technology
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you numerous benefits, such as a company pension fund, travel allowances, low-cost parking, discounted IT (hardware and software), special rates for language courses offered by the university language
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of career. Experience in using qualitative data analysis computer software such as NVivo would be an advantage. Skills 13. Demonstrable ability to plan and manage research, both independently and as part of a
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the changing geography of computational infrastructures and understanding how it is shaped by the interaction of technology companies’ business interests and states’ economic and security interests. The project
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technology and innovations and work flexibly across laboratories as required. Analyse and record data to aid the design of future research Take responsibility for self-development and on the job learning
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researcher, with a background in Science and Technology Studies or cognate fields and the flexibility and agility to thrive working across disciplines and at the interface of research and public engagement
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; supervising student projects/practicals. · Demonstrable ability to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental