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biological systems, also in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics
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PhD degree in civil, mechanical, or electrical engineering, computer science, or a closely related field. A desire to engage in cross-disciplinary research at the intersections of civil, mechanical
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hearing from researchers with oceanographic, as well as meteorological, science background. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale
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have successfully defended a PhD thesis in a relevant discipline (computational mechanics, mechanical/aerospace engineering, simulation technology, applied mathematics, etc.). If you have not received
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: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated
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coil patterns and core geometries, to reduce coil loss in HPMCs You will also contribute to teaching and supervising BSc and MSc student projects, and be co-supervisor for PhD students. Anyone who: has a
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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/cognition-and-clinical-neuropsychology/ , at the Department of Psychology, University of Copenhagen. Qualification requirements The candidate must have obtained a PhD degree in mathematics, statistics
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, you must hold a PhD degree in analytical chemistry, chemical engineering, biomedical engineering or other related disciplines. Experience in SERS and SERS data analysis. Experience in sample preparation
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of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within the group and