672 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions in United Kingdom
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research program dedicated to improving our understanding of ALS and informing future clinical trials. You'll also benefit from being part of a larger team investigating Treg biology and Treg-focused
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- Stratification of Therapies through Adaptive Responses (CRC-STARS) is a CRUK strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced
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Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in myeloproliferative neoplasms (MPNs). You will take a lead role in conducting wet lab
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: Biostatistics & Health Informatics. Contact details:Victoria Ratti. victoria.1.ratti@kcl.ac.uk Location: Denmark Hill Campus. Category: Research. About us: Applications are invited for a Postdoctoral Research
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degree in architecture, landscape architecture, computational design, computer science, or a closely related field, completed before the position start date. Proven expertise in AI/ML/DL techniques
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for the Research Associate, Grade 7 level, position must have a PhD in a quantitative biology discipline, statistics or machine learning along with a proven track record of research using statistical modelling
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supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine learning
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via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, physics or a related discipline, and have experience
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this position you will have a chance to make an impact by contributing to satellite-based PIC LIDAR technology with direct applications in space debris detection. This is an exciting opportunity to work
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Applications are invited for a Research Assistant to join the Mental Health Neuroscience lab led by Professor Camilla Nord at the MRC Cognition and Brain Sciences Unit, University of Cambridge