25 parallel-and-distributed-computing-"DIFFER" Postdoctoral research jobs at KINGS COLLEGE LONDON in United Kingdom
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About us The Department of Informatics is looking to recruit a Postdoctoral Research Associate. We are a globally recognised center of excellence in artificial intelligence, robotics, and computer
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representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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than 30 people, including parallel post-doctoral researchers in four other countries, and led by Prof Ben Baumberg Geiger at King’s. Secondly, it’s located within the Centre for Society and Mental Health
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approaches. The postholder will contribute to analysing the qualitative data collected, preparing high quality outputs, disseminating research findings to different audiences and completing administrative
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the MET office, the candidate will use outputs from the JULES land surface model to run model experiments that test NBS adaptation potential under different climate change scenarios. For example
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class of signalling molecule that acts during embryonic development to generate a variety of cell states. In response to distinct threshold levels of morphogen signalling, cells follow different fates and
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, cells follow different fates and form different structures. Therefore, within a given territory, a single morphogen can generate multiple outcomes. This project will experimentally study how morphogens
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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United Kingdom Application Deadline 31 Aug 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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their relationship with treatment responses and disease activity. This is an excellent opportunity to contribute to a collaborative research program dedicated to improving our understanding of ALS and informing future