320 data-"https:"-"https:"-"https:"-"https:"-"INESC-TEC" Postdoctoral positions in United Kingdom
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contribute to hypothesis-driven research, data analysis and assay development within an integrated drug discovery framework. The role also involves managing independent research activities, contributing
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-molecule inhibitors. The postholder will use structural, biochemical and microbiological data to inform molecule design, generate and test hypotheses, and develop new synthetic methodologies. Alongside
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successful careers and build skills in achieving impact, so their findings can influence real-world change. Responsibilities include: • Supporting and conducting data collection across the research
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information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel
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institutes. This position is based in the Centre Centre of Combinatorics, Algebra & Number Theory. Other Centres include the Centre for Probability, Statistics & Data Science, the Centre for Geometry, Analysis
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the Centre’s wider ethos of coproduction. Using your experience in quantitative data analysis, you will examine the links between mental distress and work, care and welfare. You will take forward some selected
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involves assisting in writing research bids, collecting and analysing initial pilot data and PPIE activities, consulting with stakeholders and contributing to research papers, impact and implementation
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be addressed to Dr Christian Schroeder de Witt (christian.schroeder@eng.ox.ac.uk ) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online
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experiments in the wet lab and fly lab and collect data. You will have opportunities to develop your technical skills (microscopy, data collection & analysis), supporting an interdisciplinary team
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We have a new and exciting Postdoctoral Research Assistant position available within the CRC-STARS spatial biology team, analysing and interpreting spatial transcriptomic data. You will work on the