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, privacy-preserving technologies, adversarial machine learning, explainable AI, or secure software engineering. Collaborate and Translate: Work within a supportive team, present findings at national and
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Technology and is closely connected to the Birkbeck Centre for Creative AI and the Birkbeck Immersive Learning Centre. Together these centres bring expertise in art history, museum studies, creative AI
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. Mentorship: Assist in supervising 1–2 PhD students or junior researchers and support their research development. Job Requirements: A Master’s or PhD degree in Chemistry, Chemical Engineering, Materials Science
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30th September 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in climate data analysis and machine learning emulation of hydrological models Apply for this job See
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.).While the position start date is flexible, the successful applicant must have completed
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(for Research Engineer) with expertise in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Robotics, or a closely related field. Experience in developing, training, validating and
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, Educational Technology, Learning Sciences, Human-Computer Interaction, or a related discipline. Strong interest in research relating to Generative AI, AI literacy, digital learning, workplace learning, or human
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful applicant must have completed
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. Project description The PhD fellow will be affiliated with the Scientific Computing and Machine Learning (SCML) research group at the Department of Informatics and supervised by associate professor Anne
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We are seeking outstanding scientists and engineers at an early stage in their academic careers to join the flagship Dalton Nuclear Research Fellowship Scheme. Fellows should show a high level of