104 computer-science-intern "https:" "https:" "https:" "https:" "UNIVERSITY OF HELSINKI" research jobs at Northeastern University
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functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the work in the group, checkout out the group website. https
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in the field of network science, with applications to nutrition, biological networks, network medicine, and the science of science. The position involves developing and applying computational
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, an environment, and a culture that just aren’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology, and want to be part of a unique and diverse
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About the Opportunity About the Opportunity : The Bouve College of Health Sciences is looking to hire a Post-doctoral Fellow (Medicinal Chemistry and Drug Discovery) in the Department
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letters of recommendation MINIMUM QUALIFICATIONS Candidates should have a Ph.D. in Physics, Mathematics, or Computer Science. A strong track record of research accomplishments in technical fields, ideally
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management, graduate student training/advising, and co-op/intern student mentoring Qualifications: The candidate must hold a Ph.D. in a relevant field, including computer science, human-centered computing
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, computer science, mathematics, or statistics or related field. The BarabásiLab is seeking motivated individuals with an interest in exploring complexity and its applications to food, art, science, and medicine from
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research. Prepare and write research papers, presentations, grant proposals. Train Graduate Students. Qualifications: PhD in Computer Science or related field (completed or near completion) Strong
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, and managing all professional and technical staff; and supervising students. Qualifications: Mandatory: PhD in Computer Science or similar field; At least one (1) publications as first/second author in
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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven