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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
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to the group’s open-source software, and participation in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, computer science
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, troubleshoot and improve the setup and ensuing workflows. You have a PhD degree in chemical engineering, physical chemistry, materials science, or a closely related field. You have hands-on experience with
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plan experiments carried out by technical staff (BTS/DUT level) and/or engineers and Master’s students involved in the project Use specialized software tools for bibliographic research, reference
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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to the project): PhD in Computer Science, Distributed Software Architectures, Artificial Intelligence, or a related discipline. Strong research background in data management, including policy governance or data
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to safer and more equitable use of digital health technology? We are seeking a junior or postdoctoral researcher to support Label2Scale, a European Commission-funded project focused on enabling safe and
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porous-silicon experience is advantageous but is not essential where a candidate brings strong adjacent expertise at the engineering-biology interface. Essential criteria A PhD awarded, or thesis submitted
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/or software engineering are recommended for this position. The post requires strong research, programming, and system development abilities. Applicants must have a track record of publications in
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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering