674 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United Kingdom
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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discipline (eg Statistics, Machine Learning, Biostatistics, AI, Engineering) with experience of developing and applying new methods. You will be able to develop research projects, with publications in peer
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
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experience in Oxford Nanopore Technologies (ONT) sequencing and bioinformatics A track record of research in microbiome science, metagenomics, whole genome sequencing, big data analysis, machine learning, and
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skills and proficient in the use of applications such as Microsoft Word, Excel, PowerPoint. Experience in preparing high-quality manuscripts and submitting them for publication in academic journals
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of Government Our vision is of a world better led, a world better served and a world better governed. We are a global school committed to improving the quality of government and public policymaking worldwide
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work independently, once appropriate training and guidance is provided. Excellent academic writing, oral presentation skills and computer skills and proficient in the use of applications such as
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34 Faculty of Law Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2031 Reference no.: 4413 Explore and teach
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track