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support the mission of the university through their work. Qualifications Bachelor's Degree in Computer Science and/or Software Engineering; Master's Preferred Experience in building software infrastructure
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working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses. MSc
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: • Master’s degree or equivalent experience in building physics, architectural engineering, civil engineering (with a focus on materials or building science), heritage science, or a closely related scientific
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science, mathematics, engineering, or natural sciences. Applicants must also have proven software engineering skills as well as experience with web technologies and data visualization. Excellent language skills in
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part of the Software Technology group . Research in this group focuses on using and improving functional programming languages such as Haskell and Agda, in particular for parallel computing, software
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Alzheimer’s and Parkinson’s. You will work within a multidisciplinary environment alongside data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 4 hours ago
are modeling human and animals shape and behavior. In the Eye Movement Study, we are closely collaborating with Assistant Professor Xucong Zhang (Delft University of Technology) to develop systems and algorithms
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(such as data annotation, online content creation, or software testing) provide chances for social enterprises – i.e. mission-driven business that prioritize societal impact above maximizing profit, such as
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implemented this type of skeletal tracking system into their Video Assistant Referee (VAR) process by adopting Semi-Automated Offside Detection (SAOD) technology. Whilst this is a very specific application to
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27 Feb 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mechanical and Industrial Engineering Research Field Engineering