316 data-"https:"-"https:"-"https:"-"https:"-"U.S"-"UCL" Postdoctoral positions in United Kingdom
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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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- Rashid Ganiev
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- VIN UNIVERSITY
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Field
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years This role will contribute directly to drug discovery efforts through the design and synthesis of small-molecule inhibitors. The postholder will use structural, biochemical and microbiological data
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, microbiologists and immunologists at Oxford, as well as with external partners, the postholder will contribute to hypothesis-driven research, data analysis and assay development within an integrated drug discovery
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr
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foundations for future clinical studies. You will design and run EEG experiments, integrate stimulation and recording hardware, and lead analysis of behavioural and EEG data. You should have: ¿ A PhD (or
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health problems so we can support them fully during our recruitment process and make any necessary reasonable adjustments. Any information disclosed will be kept confidential and separate from the job
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that relevant information and issues in the implementation of projects/experiments are captured in as comprehensive and timely manner as possible. Establish collaborative links with the core scientific personnel
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responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research
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well as further information about the university and how to apply. The post is full time (part time at minimum 0.8 FTE may be considered), for a fixed term until 31st March 2029 in the first instance. Only
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responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development