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Graduation in the area of Computational Chemistry, Material Science, Chemistry, Artificial Intelligence or Physics within 3 years; Have strong research and innovation abilities, and be able to engage in full
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. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating with CSEM and EPFL in a Swiss National Science Foundation (SNF) Bridge Project. Your
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analysis. Required qualifications Applicants should have a Ph.D. in mechanical engineering, biomedical engineering, hearing science, or other relevant fields. Required application materials To apply, please
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
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. Applicants must also have a strong track record of publications in computational materials science, excellent communication skills, the ability to work collaboratively in a team of scientists with different
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Vision Group at the division of Signal processing and Biomedical Engineering develops intelligent systems for automatic image interpretation and perceptual scene understanding. Our research spans both
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in computational surface science, electronic structure theory, computational materials discovery, or machine learning in materials science. Research competence and initiative proven through
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, ECCV, ICML, NeurIPS, and ICLR annually. Additionally, contribute to teaching the CAP6411 course. Minimum Qualifications: PhD in Computer Science or another related field Preferred Qualifications
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14853, United States of America [map ] Subject Areas: Public Health Nutrition Data Science Epidemiology Bioinformatics / Clinical , Computer Science , Mathematics , statistics (more...) Medicine Salary