350 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United Kingdom
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. They will have experience with plants, microbiomes, and bees/pollinators. Key accountabilities / duties You will: Design and execute controlled plant growth and stress-response programmes across model crops
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We are looking for someone with a PhD in relevant scientific discipline (e.g. Physics, Mechanical Engineering, Biomedical Engineering, Computer Science, Electronic Engineering, Robotics), a proven
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to the mental health and neuroscience focused NIHR Support Service Hub hosted by King's College London and Partners. You will play a key role in the innovative NIHR program grant, REFUEL-MS, which is developing
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the ability to act on their own initiative, excellent quantitative skills, including programming (e.g., Matlab and R) for the design and analysis of experiments. Experience in using computational modelling
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of tuberculosis vaccines in Oxford and plan, direct and undertake clinical delivery of research work in both tuberculosis and SARS-CoV-2 studies. You will be responsible for the screening, vaccination and challenge
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postgraduate medical training, and possess sufficient specialist knowledge to work effectively within established research programmes, including specialist knowledge of queer theory and or LGBTQ+ related
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knowledge in the discipline and of research methods and techniques to work within established research programmes. Ability or potential to contribute to the development of funding proposals in order to
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recognised authority in web-app development and/or population biology and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. The successful applicant
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partners and asset or land owners. This role will involve working closely with civil engineers, computational modellers, physicists, and geophysicists to organise trials addressing scientific research
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We are seeking a Research Fellow to lead the computational chemistry aspects of a BBSRC-funded collaborative project ‘Unlocking GPCR Signalling Bias: A Multiscale Approach to GPR84 and Beyond