177 parallel-computing-numerical-methods-"Prof" positions at University of Cambridge in United Kingdom
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Ascl1 are important. We have undertaken a comprehensive discovery experiment to identify all the proteins that can physically interact with Ascl1, using a method we developed called RIME (Rapid
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integrating geospatial analysis, explainable AI (XAI), and behavioural research methods, including but not limited to correspondence testing. The Fellow will also support the PI to develop a global
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quality assurance. Ability to write clean, maintainable, and well documented code. A degree in Computer Science or a related field, or equivalent practical experience. Willingness to occasionally work
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comprehensive model of what tranquillity is, the factors that influence it and how to design for it. Attention to design contexts and design processes will be key to ensuring that useful measurements, methods and
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learning and artificial intelligence methods in spatial analysis within the Department. Land Economy is defined as the multidisciplinary study of how society interacts with the environment, both natural and
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be an excellent communicator and adaptable when it comes to scheduling and completing tasks. A methodical ability is sought with strong analytical skills and a positive, open-minded and pro-active
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Director of Programmes and Strategy Including Programme Leadership of the Von Hügel Institute Location: Edmund’s College, University of Cambridge Click here to view : Candidate Brief – St Edmund’s
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biology methods is also highly desirable. You should be well-organised, detail-oriented, and able to work both independently and as part of a team. You will have the opportunity to actively participate in
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pipeline of high-impact opportunities Building lasting relationships across the University, industry and investor networks. What we’re looking for A strong background in computer science, data science or a
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health cash back scheme Cycle to work scheme Wellbeing programme To apply, please submit your CV and covering letter to recruitment@lucy.cam.ac.uk explaining why you would like to be considered