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multisensory systems, especially haptics (actuators, tactile displays, force feedback devices) Strong visual computing skills (Unity, C++/C#, Python, rendering, tracking or 3D reconstruction pipelines) A
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advantage Familiarity with large biological datasets and high-performance computing is desirable Ability to work independently and collaboratively in an interdisciplinary research environment
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computing is desirable Ability to work independently and collaboratively in an interdisciplinary research environment Proficient in written and spoken English About us The Center for Quantitative
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Computing Section at Aalborg University’s Department of Computer Science. We provide an ambitious and supportive research environment focused on the design and evaluation of interactive systems that
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neuroinflammatory process in people with Parkison’s disease. The study will be complementary to a parallel project carried by another postdoc, which is focused on similar investigation on brain cells in donated
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artificial intelligence Employer Aarhus University (AU) Location Aarhus, Midtjylland (DK) Salary Competitive Closing date 20 Nov 2026 View more categories View less categories Discipline Computing , Life
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. Strong skills in scientific scripting (R, Python) and programming. Experience with High-Performance Computing (HPC) environments and the management/analysis of large datasets. The ability to
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Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen | Denmark | about 1 month ago
View more categories View less categories Discipline Biomedicine , Computing , Life Science Job Type Postdoctoral Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply
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Employer University of Southern Denmark (SDU) Location Odense, Fyn (DK) Salary Competitive Closing date 31 Aug 2026 View more categories View less categories Discipline Computing Job Type Postdoctoral
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learning model development (e.g., CNNs, UNets, Transformers). Strong programming skills in Python and hands-on experience with deep learning frameworks in PyTorch. Experience with scientific computing