26 developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA" Postdoctoral positions at University of Oxford;
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multidisciplinary research programme, you will contribute to the development of innovative computational and systems biology approaches to uncover the mechanisms underlying protection against infectious diseases and
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for Immuno-Oncology and the Cancer Research UK Oxford Centre. They will apply and further develop quantitative spatial analysis methods and Python-based workflows using the MuSpAn (Multiscale Spatial Analysis
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compared with individuals on immunosuppression. You will be responsible for developing and pursuing appropriate immunological protocols and techniques to support the research, using sophisticated wet-lab
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Oxford Department of International Development, Queen Elizabeth House, 3 Mansfield Road, Oxford, OX1 3TB The Oxford Department of International Development (ODID) is seeking to recruit a Comparative
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across the Centre for Human Genetics and the Mathematical Institute, you will collaborate with leading mathematicians, computational biologists, experimental scientists and clinicians to develop innovative
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and maintain CRIPSR sgRNA libraries Apply, develop and optimise cellular, molecular, high-content imaging and metabolic assays . Select, adapt and develop experimental protocols Please refer to the job
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research into developing mass spectrometric strategies for Protein-Biomolecule interactions as part of a Wellcome Trust-funded collaborative grant You will manage your own academic research and
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research into developing chemical strategies for biomolecule trapping as part of a Wellcome Trust-funded collaborative grant You will manage your own academic research and administrative activities, adapt
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position to work with Professor James Davies and Professor Ronjon Chakraverty. This is an exciting opportunity to work on developing cutting-edge genome editing methods as part of the new MRC Centre
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Professor Justin Sirignano at Oxford and Professor Konstantinos Spiliopoulos at Boston University. The project develops new mathematical theory for training algorithms and neural network models, drawing