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for candidates with strong backgrounds (preferably PhDs) within mechanical engineering, manufacturing engineering, materials science, applied mathematics or physics. Specific disciplines will involve heat transfer
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atmospheric circulation patterns to determine conditions that reinforce Arctic-mid-latitude coupling in collaboration with the ArcticPush PhD student at Universtiy of Copenhagen. Design and conduct experiments
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Job Description As part of expanding the Centre for Visual Data Science , the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a
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atmospheric circulation patterns to determine conditions that reinforce Arctic-mid-latitude coupling in collaboration with the ArcticPush PhD student at Universtiy of Copenhagen. Design and conduct experiments
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magnetism. Qualified applicants must have PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open-source software
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magnetism. Qualified applicants must have PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open-source software
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underlying modification patterns from short- and long-read datasets.Who are we looking for?We welcome candidates with strong backgrounds in computational biology, mathematics, statistics, or computer
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the strength of heterogeneous materials”. Your profile You hold a PhD in engineering, mathematical modelling or similar. Scientific challenges excite you and you feel comfortable talking to people with different
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conferences and journals within machine learning and computer science. We’re looking for a candidate with: PhD in computer science, bioinformatics, data science, or a closely related field. Expertise in
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and automated catch registration