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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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Pipsa Saharinen’s research group at the Translational Cancer Medicine Research Program at the Faculty of Medicine, University of Helsinki and Wihuri Research Institute invites applications
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hand, forest trees take decades to mature, meaning that the seedlings begin their growth in a different kind of environment compared to the one they face as adults. How will the current forest tree
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of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous
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-Gordon model, the scaling limit of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with
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, writing articles, supervising M.Sc and possibly PhD students as well as contributing to teaching in the Master's Programme in Particle Physics and Astrophysical Sciences. The candidate should have: A good
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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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sustainable policies for human flourishing. This includes identifying social and environmental inequalities, supporting inclusive social action and policies, informing learning and education, promoting
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/or medication security and sustainability. The position is open to applicants with a PhD degree in law with a topic that gives a good background for a post doc in this area. The post doc is expected
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facilities with access to the state-of-the art technologies. Qualifications We invite applications from candidates with a solid theoretical and wet-lab background and a PhD degree in cell/molecular biology