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learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics, Statistics, or Theoretical Physics at the time of
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group of researchers and students with a background in a number of different disciplines, including biology, molecular biology, statistics, chemistry, and computer science. About the research project
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postdocs positions in the Center for Basic Research in Program Verification (CPV) at Department of Computer Science, Aarhus University. The research topics at the Center for Basic Research in Program
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computational proteomics, bioinformatics, machine learning, computer science, chemometrics, analytical chemistry, or a closely related field Strong experience in machine learning and/or deep learning
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, and open scientific resources where relevant Required Qualifications Applicants must have: A PhD in computational proteomics, bioinformatics, machine learning, computer science, chemometrics
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Postdoctoral Research Fellow - Human-Centered AI for Data Visualization at Computer Science, Aarh...
applications for a 36-month Postdoctoral Research Fellow position focused on Human-Centered AI for Data Visualization. The position is funded by the Center for Anytime Anywhere Analytics (CA3). The
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position is funded by the Center for Anytime Anywhere Analytics (CA3). The starting date is 15 November 2026, or as soon as possible thereafter. Department Description The Department of Computer
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position is funded by the Center for Anytime Anywhere Analytics (CA3). This is a full-time, on-site role located in Aarhus for a Postdoctoral Fellow at the Department of Computer Science, Aarhus
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position is based at the Center for Quantitative Genetics and Genomics (QGG) under the supervision of Asst. Prof. Irene Julca. The position is offered as a two-year appointment, with the possibility of
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, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages Background in machine learning or deep