378 programming-language-"Washington-University-in-St" Postdoctoral positions in United Kingdom
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using in vivo models. The role will also include supporting the general program of research within the pre-clinical team. You will work in Containment level 2 and 3 facilities to assist with murine
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language models) to extract data from case law desirable. Knowledge and understanding of the processes before international human rights systems of would be a very important asset. Knowledge of French
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Control engineering (experience with nonlinear systems is a plus) Machine learning and deep learning in context of physical systems Programming skills are required, with Python experience preferred. A good
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of statistical programs (e.g. in Matlab, R or SPSS) German and English skills Proven ability to collaborate effectively, maintain performance under tight deadlines, and demonstrate a high level of commitment and
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-workers. Excellent oral and written communication skills, including proven ability to write in English at a suitable standard You will experience of flow cytometry and experience with tissue culture
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
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numerical modelling. Ability to participate in research meetings to troubleshoot research problems and discuss the direction of research. Skills Fluency in at least one scientific computer language (e.g., C
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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international publications in peer-relevant media. You have an outstanding dissertation. You bring didactic know-how and experience in e-learning. You have excellent command of written and spoken English (at
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colleagues in the research project, to assist with the research objectives, and identify areas for research. • To address any unforeseen scientific and numerical challenges. • To plan