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of engineering, technology and mathematics. We have a word wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary
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neuroscience, computational cognitive science, physics, mathematics, computer science, machine learning, engineering or a related field. Preference will be given to candidates with: previous experience in
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to develop predictive approaches for future scenarios. The skills, qualifications and experience required: obtained (or close to obtaining) a PhD in a scientific, mathematical, engineering or computing subject
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academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a world wide reputation for academic research with consistent top research
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to the space sector, and the PhD candidate will be a key part of this process. Requirements for the candidate: MSc degree in Physics, Engineering, Mathematics, Computer science or related fields. Solid
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Power Electronics and Magnetics for Electromobility and Electrical Power. The post holder will be
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part of a procedure for obtaining refugee status under the Geneva Convention are not considered) Candidates profile: MSc degree in Physics, Engineering, Mathematics, Computer science or related fields
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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include: MIT, Tsinghua University, EPFL, Jacobs, UCLH, NASA, CEA, EDF Energy, Rolls Royce, CCFE. The successful candidate must have or be close to obtaining a PhD in Physics or Nuclear Engineering
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8 Apr 2024 Job Information Organisation/Company University of Cambridge Department Physics Research Field Technology Researcher Profile Recognised Researcher (R2) Country United Kingdom Application