41 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" research jobs at University of Southern Denmark
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) within robotics, computer science, data science, or related fields. The candidates are expected to have a profound knowledge on the majority of the following topics: Machine learning (deep neural networks
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, international team with flexible work organization and support for individual development. Further information Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further information
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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
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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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Job Description The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark
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PhD program, you must include a signed letter from your PhD supervisor stating your expected date of completion. Strong collaborative and communication skills and an interest in method development and
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the framework agreement between the Ministry of Finance and Studenterundervisernes Landsforbund (SUL). Your Qualifications You will be enrolled in a Bachelor's or Master's programme during the fall semester 2025
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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a postdoctoral research fellowship in models of quantum
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static and dynamic program analysis, tailored to the challenges of cross-language data communication. In particular, to systematically model and analyze cross-language communications to discover hidden