33 parallel-and-distributed-computing-"LIST" Postdoctoral positions at University of Southern Denmark in Denmark
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Job Description The Department of Molecular Medicine at the University of Southern Denmark (SDU) invites applications for a position as postdoc in Computational Biology in the laboratory of Dr
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Job Description Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SDU Robotics , part of the Maersk Mc-Kinney Moller Institute
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an educational background within robotics, mechanical engineering, electrical engineering, computer science or similar area is required. The candidate is expected to have a profound knowledge on the majority
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/diplomas and transcripts of exams (MSc and PhD), both the original documents and in professional English translation. List of publications and maximum 2 examples of relevant publications. The application may
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languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software product lines), human factors in security
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Job Description In order to expand 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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behavioral measures in healthy human participants combined with quantitative modelling. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and
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have practical applications, such as optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret
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) using a novel cell culture model. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics