310 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Postdoctoral positions in United Kingdom
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discounts across the high street, supermarket shopping, cinema tickets, dining out and more. Employee assistance programme with access to free confidential counselling sessions, legal & financial advice, and
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and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with
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, led by Dr Maxim Igaev at Birkbeck , and will interact with other members of the Institute of Structural and Molecular Biology (ISMB). The research programme also involves interactions with
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liaising with clinicians. The post-holder will report to Dr Aislinn Bowler and Professor Jonna Kuntsi but will also work with other research staff and students working on the ART research programme
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and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with
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complex, fast-moving, multi-method evaluation environment. The TLG programme operates in settings that do not always allow for neat experimental design, with adaptive, place-based interventions
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Hours: Full Time (37.5 hours per week) About the role We are seeking a highly motivated Research Assistant to join a growing research programme investigating how transposable elements contribute
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• Temperature-programmed hydrogen desorption • Materials characterisation • Hydrogen permeation • Coupled deformation-diffusion modelling For those candidates about to finish
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decision-making. They will have strong knowledge of machine learning research methods, excellent programming skills, and the ability to communicate complex ideas clearly to academic and non-specialist
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Studies (OSGA) and contribute to the interdisciplinary Oxford Martin School Pandemic Genomics Programme. The successful candidate will work on a research project investigating equitable genomic surveillance