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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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experience preferred Minimum Experience: Work experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field
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experience preferred Minimum Experience: Work experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field
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at the University of Oldenburg and involving national and international partner institutions. As a diverse and international team of scientists from biology, physics, chemistry, computer sciences and social sciences
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of Science, University of Southern Denmark (SDU), Odense. We seek a candidate with strong, documented expertise in computational drug design / computer-aided drug discovery. Preferred competencies include
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Assistant Professor position in Computer Science with a Focus on Interdisciplinary Data Science_3...
contexts is highly desirable. Who are we looking for? The ideal candidate * is a computer scientist, data scientist or an applied mathematician holding a PhD * has a strong record of research at a high
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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staff with excellent interdisciplinary knowledge and specialized, state-of-the-art expertise in software engineering, computer visualization, and data science. As a faculty member, the applicant is
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and enthusiastic individual who meets the following criteria: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related
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About PhD@Tec21 : The Marie Skłodowska-Curie Cofund doctoral programme PhD@Tec21 is dedicated to training the next generation of experts in mechanical and chemical engineering. The programme targets