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Is the Job related to staff position within a Research Infrastructure? No Offer Description The Hybrid Technology Hub CoE (https://www.med.uio.no/hth/english/ ) is inviting applications for a three
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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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Description Are you passionate about human behavior, XR technology, and real societal impact? Join us in studying how people interact with complex environments and empowering individuals with disabilities with
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to the IE faculty's Doctoral Programme (https://www.ntnu.edu/ie/research/phd/), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science and
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the rise of generative artificial intelligence, 3D digitization, and immersive environments (XR). These technologies enable new forms of cultural production, including heritage reconstruction, interactive
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. A key additional aspect is the use of functional structure within the proteome-such as protein-protein interaction patterns, structural similarity, and data-driven embeddings derived from sequence
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engagement with industrial partner (e.g. in terms of data collection and development of practice). The doctoral project As AI becomes embedded in everyday work, employees increasingly interact with AI agents
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
for the Research Group Biofluorescence: PhD candidate (f/m/d) This project, funded by the DFG as part of CRC 1752, "DYNAMO: Immediate Tumor Dynamics in Melanoma Therapy“ (https://www.uni-due.de/crc1752/ ) seeks
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. The department is BTH’s largest department at BTH with 70 people. At the department, research is conducted in two major areas: computer science and engineering and visual and interactive computer science
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observations of material evolution during ion interactions remain largely unexplored. Such knowledge is crucial to understand transient processes and defect dynamics, in order to design next-generation materials