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collaboration with Chalmers University of Technology. During the 3 years, you will develop next-generation data-driven methods for diagnosis, rehabilitation, and personalized treatment while working with
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extension of results. Collaborate with interdisciplinary teams across multiple institutions. What you bring: Master's or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a
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. Discipline(s): Chemistry and Materials Sciences ( 12 ) Communications and Graphics Design ( 2 ) Computer, Information, and Data Sciences ( 17 ) Earth and Geosciences ( 21 ) Engineering ( 29 ) Environmental
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, knowledge of and skills in: Ph.D. in Materials Science, Physics, or a closely related discipline. Research experience in dislocation modeling and simulation. Proficiency in machine learning
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc in AI-driven design of environment-responsive
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master's degre in Mechanical Engineering, Manufacturing Engineering, Materials Science, Computer Science, Data Science, Software Engineering, or a similar degree with an academic level equivalent to a
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industrialization of technology. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related
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industrialization of technology. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related
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and Materials Sciences ( 12 ) Communications and Graphics Design ( 2 ) Computer, Information, and Data Sciences ( 17 ) Earth and Geosciences ( 21 ) Engineering ( 29 ) Environmental and Marine Sciences
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scientific computing, control theory, data science, data driven methods, discrete mathematics, discretization methods, graph algorithms, high-performance computing, integral equations and nonlocal models