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detailed T-cell phenotyping and functional assays • Conduct mechanistic studies using molecular and cellular immunology techniques • Contribute to data analysis, presentation, and publication
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Veronika Fikfak. The Postdoctoral Research Associate will be responsible for data collection from different human rights case law databases, coding (including machine learning) and data analysis. They will
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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, fluorescent microscopy, etc.), as well as extensive experience in quantitative proteomics (both sample preparation and data analysis) is expected. As a postdoctoral researcher, you are expected be able
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husbandry and make fly food. Carry out experiments in the wet lab and fly lab and collect data. You will have opportunities to develop your technical skills (microscopy, data collection & analysis
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strong interest in biological problems and have achieved demonstrable scientific success in previous roles. Prior experience of biological modelling is desirable but not essential. Additional information
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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Nov. Informal enquiries may be addressed to Dr Zhenyu Cai: zhenyu.cai@eng.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ The University of Oxford
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in a supportive team environment and is eager to take the lead in characterising Mtb populations from patient samples. The successful candidate will play a central role in microbiological data
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion