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unlabelled data. The research outcome are expected to be published in machine learning and/or computer vision venues such as ICLR, NeurIPS, ICML, ECCV, ICCV, and the like. What we offer A position at a leading
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. Knowledge of AI and machine learning techniques Experience in the AI application to structural bioinformatics or related areas. Familiarity with the AlphaFold platform and its applications in protein
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, probabilistic modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with
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another way. If you can say yes to some of the below points it is highly beneficial: Proficiency in programming languages, preferably Python. Knowledge of AI and machine learning techniques Experience in
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, probabilistic modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with
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data-driven. Will you be part of that change? Then join us in this unique program! Your goal will to leverage cutting-edge machine learning methodologies to extract conformational ensembles from single
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are now looking to appoint two postdocs in the field of AI and machine learning with a focus on scientific applications. Work assignments The primary focus of the postdoc positions is research in machine
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. One Ph.D. position is available in cancer precision medicine using advanced machine learning
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another way. If you can say yes to some of the below points it is highly beneficial: Proficiency in programming languages, preferably Python. Knowledge of AI and machine learning techniques Experience in
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modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with an international team