302 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"IDAEA-CSIC" Postdoctoral positions in United Kingdom
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future tasks: Active participation in research, teaching & administration, which means: You plan and conduct your own research projects in the field of computer-assisted drug design. You publish your
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The Role Applications are invited for a Postdoctoral Research Associate in Mathematics with a particular emphasis on the p- adic Langlands programme and related areas. The research project , led by
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conducting calibration observations with the new receiver. Additionally, you will get to participate in a new VLBI program where full Stokes observations at millimeter wavelengths are conducted. Your network
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cytometry. Our experimental programme is designed to interface and synergise with simultaneous theoretical developments of computational models and novel methods for analysing system purposes
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undergraduate and postgraduate programmes in Sociology, Criminology and Social Work. Further, we support the delivery of a faculty research methods programme as part of the collaborative NINEDTP and contribute
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-evolutionary optimality concepts and modelling Good programming skills Familiarity with relevant data sources for model evaluation Previous research experience and publication record The ability to use own
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Practical experience in using site and global data sets for model evaluation Good programming skills Familiarity with relevant data sources for model evaluation Previous research experience and publication
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) Country United Kingdom Application Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in
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associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC CMM researchers with drug discovery experts