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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. This PhD position will be located in the project "Deploying a Mobile Interoceptive Training to
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project is hosted by an interdisciplinary research team consisting of André Schulz (PI) and Philip Santangelo (both Department of Behavioural and Cognitive Sciences), Inès Chihi (Department of Engineering
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Your profile PhD degree in Computer Science, Applied Mathematics, Computational Engineering, Physics, or an equivalent field with a focus on High-Performance Computing Advanced Know-How in the fields
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning, computational biology, or a closely related field Strong research track record
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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applicable, invention disclosures Your profile PhD in materials science, physics, electrical engineering, mechanical engineering, or related field Strong hands-on experimental skills with functional materials
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on ARSPECTRA hardware in collaboration with their engineering team Contribute to open-source code, demonstrators and joint publications with ARSPECTRA and clinical partners Your profile PhD in computational
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months of the project. Requirements for this position: PhD in civil engineering or related area Expertise on structural health monitoring (SHM) or concrete testing Experience in laboratory / full scale
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will be jointly embedded and interact with PhD students and research engineers of the Interdisciplinary Institute for Artificial Intelligence (3iA) TechPool, and operates in the context of international