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, reliability, and robustness of RAI. The successful candidate must be an outstanding researcher in their field of computer science, machine learning, AI, applied mathematics or statistics with a proven track
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computational methods and to contribute to interdisciplinary research with potential clinical impact, ideally supported by a solid publication record. Workplace Workplace We offer Your job with impact: Become
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of the BioValley, a tri-national region that hosts 40% of the global life sciences industry and numerous major pharmaceutical companies, the D-BSSE offers a unique environment for high-impact translational
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of the BioValley, a tri-national region that hosts 40% of the global life sciences industry and numerous major pharmaceutical companies, the D-BSSE offers a unique environment for high-impact translational
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: Working with both high-grade and low-cost GNSS equipment and utilizing a GNSS signal simulator (Spirent) Academic Leadership: Leading and co-authoring high-impact publications and participating in
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or
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could have impact on diseases with inflammatory and metabolic components. Job description As a PhD student, you will: perform biological and physical characterization of the glycopolymers in different
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experimental work related to mycelium-based sensing materials. The student will contribute to laboratory experiments that investigate how mechanical deformation affects electrical signal propagation in mycelium