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: Department for Structural and Computational Biology at the Max Perutz Labs, a research institute established by the University of Vienna and the Medical University of Vienna. Dedicated to a mechanistic
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(MRC CMM) seeks an experienced research associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC
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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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. Importantly, this position offers a unique opportunity to develop an independent research program in a very novel area of biology, focusing on how the kinetochore and the cytoskeleton interact to influence
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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Full-time: 35 hours per week Fixed-term: 31st March 2026 The School of Informatics at the University of Edinburgh invites applications for 2 Post-doctoral Researcher positions in Quantum Machine
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with leading European researchers, policy makers and practitioners. You will have: A PhD in agriculture, ecological, or environmental science, Knowledge of entomology and agriculture, Experience
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experts in their fields: Dr. Muhammad Afzal (Senior Lecturer, Lead of Big Data Analytics): Dr. Afzal is an AI and data science expert with a strong research portfolio spanning AI applications in computing