472 web-programmer-developer-"https:"-"https:" Postdoctoral positions in United Kingdom
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To undertake research on the evolution of prokaryotic pangenomes using machine learning and AI approaches. The work will involve the analysis of large prokaryotic genome datasets, the development
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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Professor Dario Farina, in the Department of Bioengineering at Imperial College London. The focus of the research will be on the development of soft actuators, from material and structural perspectives, with
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development of wireless activation and communication systems enabling safe, efficient, and selective control of neurobots. Your work will focus on wireless energy transfer, external transmitter/receiver systems
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the commercialisation of all-solid-state batteries. Of particular interest is the development of electro-chemo-mechanical phase field models to predict void evolution and dendrite growth (see, e.g., doi.org/10.1016
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and methods and develop new ones. Proven technical writing and data analysis skills. Excellent written communication skills and the ability to write up research for peer-reviewed journals and
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to autoimmunity, allergy, and transplant rejections. Our research is focused on understanding how T cells make these critical response decisions. We aim to develop a quantitative understanding of how signals from
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activities, and will be supported to develop their own independent research trajectories and career pathways throughout the project with access to bespoke training and conference budgets. You should have a PhD
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” and “wet” lab workflows). You will be able to Design, develop and implement algorithms and systems based on foundation models, large language models and/or AI agents for automated scientific discovery
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly