56 programming-"https:"-"https:"-"https:"-"HFML-FELIX" Postdoctoral positions at University of Oxford
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recognised programme in organic semiconducting materials. This is an exciting opportunity to contribute to the development of next-generation conjugated polymers and small molecules for applications in organic
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discipline. They should have strong computational skills, including experience with UNIX/Linux and programming in Fortran, Python, or other high-level languages. Candidates should also demonstrate the ability
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theory Familiarity with code development for Software Defined Radio systems and suitable programming environments (e.g., Python, APIs, automation frameworks, Jupyter, etc.). Experience in program
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contributory pension scheme 38 days annual leave A comprehensive range of childcare services Family leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of
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scientist to contribute to a highly innovative Alzheimer’s Research UK-funded programme at the interface of stem-cell biology, neuroimmunology, spatial multi-omics and functional neuroscience. The postholder
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, Headington, Oxford). The post is funded by the Horizon Europe program for 12 Months. You will be based in Nuffield Department of Surgical Sciences, John Radcliffe Hospital as your normal place of work; but you
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scientists, software engineers, data managers, and collaborators across the Mahidol Oxford Tropical Medicine Research Unit, and the wider Tropical Network Programme. Wet lab work will not be involved in
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largest European academic department in its field, running a globally competitive programme of research and teaching. The Botnar Institute for Musculoskeletal Sciences enables and encourages research and
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strong bioinformatic, analytical and programming and biophysical approaches to address biological questions. Applications for this vacancy should be made online and you will need to upload a supporting
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the appointment. You should have experience applying machine learning methods to biological or genomic data, strong programming skills (preferably in Python and/or R), and an understanding of population genetics