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modeling approaches will be considered a strong advantage. Required Qualifications PhD in Chemical Engineering, Materials Science, Mechanical Engineering, Chemistry, Electrochemical Engineering, or a closely
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of vaccine and therapeutic candidates currently being produced in Good Manufacturing Practice facilities for early phase clinical trials. Minimum Requirements: Education: PhD in Immunology, Data Science and/or
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position within a Research Infrastructure? No Offer Description Activities and context: The fellow will develop machine-learning interatomic potentials (MLPs), trained on density functional theory-DFT data
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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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the research group and will work with collaborators at other institutions (nationally and internationally) The successful candidate should have the following qualifications: PhD in Epidemiology, Data Science
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intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three distinct problems: rare
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treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org/) at the Medical Faculty, University of Helsinki, is seeking a bioinformatician or a computer scientist with strong
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University safety requirements. Machines and Equipment: Operational knowledge of laboratory equipment for mechanical testing of concrete materials Operational knowledge of equipment for 3D Printing of concrete
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Weather and climate prediction are undergoing a profound transformation. Alongside traditional physics-based forecast systems, machine-learned (ML) weather prediction models, hybrid ML-physics
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms