96 computer-engineer-"https:"-"https:"-"https:"-"IDAEA-CSIC" Postdoctoral positions in Sweden
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- Swedish University of Agricultural Sciences
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Yant Lab develops computational and genomic approaches to understand evolution, adaptation, genome dynamics, and whole-genome duplication across diverse plant systems (see https://www.yantlab.net
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failure. The postdoctoral fellow will join a collaborative and interdisciplinary research environment with expertise spanning political science, criminology, law, computer science, environmental economics
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-Environment building on the SLU Ultuna campus in Uppsala, and there is a research group and a field research station situated in Skara. Read more about our benefits and working at SLU by visiting: https
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English. Information about living and working in Sweden: https://pub.epsilon.slu.se/16119/17/stephan_k_stephan_j_190506.pdf https://sites.google.com/view/slupostdocs/useful-info/sweden#h.p_4gO5lPVuAQgB
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the department visit: https://www.slu.se/en/about-slu/organisation/departments/department-of-forest-mycology-and-plant-pathology/ Read more about our benefits and working at SLU by visiting: https
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the Social Sciences, a collaboration between the Institute for Analytical Sociology (IAS) at Linköping University and the Department of Computer Science and Engineering (CSE) at Chalmers University
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University contributes to a better future. The Department of Marine Sciences, University of Gothenburg, ( https:// www.gu.se/en/marina-vetenskaper ) combines extensive scientific competence with unique
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. To be successful in this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science
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. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to
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, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic machine learning for the next