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Field
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international partners This is part of your personality: PhD / Doctorate in Geoinformatics/GIScience/Spatial Data Science or related fields, e.g. Geography, Cognitive Science, Information Science, Philosophy and
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must have a PhD in Bioinformatics, Computational Biology, or a closely related field (or be nearing completion of their qualification). You will have demonstrable experience in programming with R and a
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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large interdisciplinary team of other PDRAs, PhDs and academic staff, and will collaborate closely with others in the University and elsewhere. You will work to address the challenges of climate change
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Master’s students. Essential qualifications, experience and competencies PhD (or near completion) in human T cell immunology, cancer biology, or a related discipline. Strong practical experience with core
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candidates with a background in civil engineering, preferably with experience in geotechnical physical, analytical and/or numerical modelling. You will be responsible for developing a simplified computational
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activities. You will have: a PhD in an area relevant to the project, like biology, physics, applied mathematics previous experience with computational modelling, method development, and numerical analysis
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for a postdoctoral position in the field of active thermography for the evaluation of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group
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Term Division/Team: Department of Computer Science Hours Per Week: Full Time Closing date (DD/MM/YYYY): 26/10/2025 Contract Duration: Fixed term until 31 March 2027 School/Directorate: School
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must have a PhD in Bioinformatics, Computational Biology, or a closely related field (or be nearing completion of their qualification). You will have demonstrable experience in programming with R and a