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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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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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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
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various computer programs. • A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Physiology, Biochemistry or related field. Required Application Materials: • Summary of previous
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members (monitoring equipment and reagents, managing cell banks, and participating in ordering supplies, where applicable). Participation in the technical supervision of Master’s and PhD students. Where
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completion of a PhD or for someone entering a new area for the first time. If you have already completed your PD1 stage in UCD or will soon complete a PD1, or you are an external applicant whose total
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PhD students. The research will be conducted in a collaborative and multidisciplinary environment, with close interaction with major industrial and research partners (e.g., Ericsson, Tele2, RISE
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skills are essential in order to understand and benefit from this new data intensive mining environment. Qualifications In order to be eligible for a postdoctoral scholarship you must have a PhD degree or
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MD, PhD, or MD/PhD degrees and experience in a variety of molecular techniques, animal experiments, and data analytics are encouraged to apply. The ideal candidate will spend at least two years in