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evolution and protein optimisation, applying molecular biology and biophysics. Researchers will be supported to develop skills in the latest AI or machine learning tools for protein design. According
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We are seeking a highly talented and experienced Postdoctoral Researcher to join a research team led by Prof Chris Summerfield focussed on studying learning and decision-making in humans and machine
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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frameworks and transformer architectures applied to biological sequences would be advantageous. You should have a PhD in bioinformatics, evolutionary biology, machine learning or similar. The post fixed term
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This position is for a Postdoctoral Research Associate on the EPSRC New Investigator Award `Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists¿, a project
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This position is for a Postdoctoral Research Associate on the EPSRC New Investigator Award ‘Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists’, a project
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principles that govern the motility, self-organisation and development of living systems. The post-holder will have the opportunity to teach. Applicants should hold (or be close to completing) a PhD in
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50 Faculty of Life Sciences Startdate: 01.11.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.06.2029 Reference no.: 4637 Explore and teach
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD