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computational biology, who works well within a team. Excited about developing and applying cutting-edge ML/AI models to solve open problems in genomics and biology. Preferred Qualifications: Experience with
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Assistant (two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling
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Materials, Bioinspired Materials and Sustainable Materials. In MSE, Prof. Li Shuzhou is interested in exploring cutting-edge scientific opportunities in computational and theoretical material modelling
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students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research
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UiO/Anders Lien 15th August 2025 Languages English English English Postdoctoral Research Fellow in terrestrial carbon cycle modelling Apply for this job See advertisement About the position Position
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interest or experience in RNA therapeutics and high-throughput innovation. Enthusiasm for interdisciplinary collaboration, particularly with computational team members focused on AI model development
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experience working with climate models, preferably on model development and/or data assimilation a strong background in computer science, and good programming skills, to suit the Department of Physics at UiT
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quantitative approaches combining protein biochemistry, reconstitution systems, advanced microscopy, and computational modeling, this work will uncover fundamental biological principles that govern proteostasis
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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials
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quantitative techniques (e.g., NLP, classification, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data