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space in immersive virtual environments, approaches related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome
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Profile Master's degree in engineering, physics, applied mathematics, computer science, or closely related field Strong background in mathematics and machine learning Programming proficiency in Python, C
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decisive progress. Details on NCCR Genesis are available on its website https://nccr-genesis.ch . Job description The transition of the Earth from following its accretion into a habitable planet is
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platform , published in Nature Communications (https://www.nature.com/articles/s41467-020-18059-7), that enables localized, hyper-efficient delivery of therapeutic compounds to specific brain regions
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cultural conditions. Implemented by a multidisciplinary consortium bridging engineering, behavioural science, XR, AI, urban planning, and policy, the project delivers actionable, standardised guidance
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engineering, transport engineering, operations research, applied mathematics, computer science, or a closely related discipline A strong background in mathematical optimisation, in particular mixed
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or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant fields, at least 3 months before the beginning of
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Electrical Engineering Mechanical Engineering Physics Neuroscience Computer Science Chemistry or a closely related field Ideal candidates should possess several of the following: Excellent academic
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, computer science, spatial planning, geography, geoinformation, psychology, economics, or an equivalent qualification You must have a Msc certificate before you start Experience with discrete choice
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together researchers with backgrounds in materials science, mechanics, and applied physics. We work across a broad range of topics, including the mechanics of particle systems (colloidal and granular