27 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral research jobs at KINGS COLLEGE LONDON
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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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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms and validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree in Engineering, Computer
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(e.g. nanopore-based sequencing, reverse genetics, immunoblotting, luciferase-based assays, RT-qPCR, microscopy) to study virus evolution and innate/adaptive immunity in the context of viral infection
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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manuscript within the lifetime of the appointment. Advanced microscopy, cutting-edge biophysical techniques and genetically engineered mouse models will be used. The labs are well-established and located in
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United Kingdom Application Deadline 7 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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Putts; and inflammatory genetics. The successful candidate will support other researchers and MSc/PhD students. They will develop novel scientific questions and lead on the analysis of specific aspects
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based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience