168 computer-programmer-"the"-"IMPRS-ML"-"U"-"Zintellect"-"Prof" Postdoctoral positions in United Kingdom
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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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to Topping Green Corridor running into and out of Middlesbrough. These three green corridors are part of an ambitious programme being led by the National Trust to help work in partnership to establish 20 green
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of Associate Professor is an exciting opportunity to pursue an independent programme of research in a thriving scientific community, while also contributing to undergraduate and graduate teaching at both
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(MRC CMM) seeks an experienced research 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
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team, analysing and interpreting spatial transcriptomic data. You will work on the Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and
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United Kingdom Application Deadline 14 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 Is the Job
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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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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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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
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to