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scientists. You meet the following criteria: • a PhD, or a PhD close to completion, in machine learning, artificial intelligence, computational biology, bioinformatics, computer science or a closely related
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meetings, contribute to grant applications, and build an independent research career in cancer immunology and neuro-oncology. Minimum Requirements PhD, MD, MD/PhD, or equivalent doctoral degree in immunology
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flows work with state-of-the-art experimental facilities, including novel subsonic and supersonic burners and advanced laser diagnostic facilities About you completed PhD in Mechanical Engineering or
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international conferences. About you a PhD qualification in Materials Science and Engineering, Metallurgy, Additive Manufacturing, Mechanical Engineering, or a closely related discipline demonstrated expertise in
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Research. Its’ one goal is to improve the health of all by advancing knowledge of life and disease, innovation in treatment, and public health research. The EpiAgeing team where the PhD candidate will be
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in specific project and envisaged contributions. Where to apply E-mail [email protected] Requirements Research FieldAllEducation LevelPhD or equivalent Skills/Qualifications PhD required in
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://jordibures.wixsite.com/buresgroup The successful candidate will have a PhD in chemistry, with a proven track record in catalysis, organic and organometallic chemistry, and mechanistic investigation. The position is full
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of the research group, including research assistants, master's students, and project volunteers. About you You will hold, or be nearing completion of, a PhD/DPhil in social policy, social work, psychology, public
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reinforcement learning (RL), Bayes adaptive RL, and planning with novel variants of Monte Carlo tree search. You should possess a relevant PhD/DPhil or be near completion together with relevant experience
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successful in this role, you will hold (or be close to completing) a PhD/DPhil in machine learning, artificial intelligence, computer science, epidemiology, health data science, or a related quantitative