151 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions in Switzerland
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animals. Across all three components, the project will involve high-resolution mass-spectrometry and complementary data streams to explore how exhaled metabolites reflect physiological status. Job
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portal. Applications via email or postal services will not be considered. Candidates will be informed if their proposal is accepted for furhter consideration in January 2026. For information about the gta
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interdisciplinary team including computer scientists, experimentalists and clinicians. ■ You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your
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. Further information can be obtained from the Dean of the Faculty, Pr Du Pasquier or the Head of the Department of psychiatry, Pr von Plessen. They should be submitted online by February 19th 2026 23:59
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the legal and regulatory requirements of the position. Further information can be obtained from the Dean of the Faculty, Pr Du Pasquier or the Head of the Department of Psychiatry, Pr von Plessen
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core part of your project will be interpreting the data and developing scientific hypotheses about the atmospheric processes that control the cycling of selenium and other trace elements. You will work
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, we collect data through biological monitoring, environmental DNA methods, remote sensing, and field sampling, and use these data to answer questions with statistical and process-based models
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methods in learning sciences and educational research You are preferably studying Computer Science or a related field You are interested in Learning Sciences or Human-Computer Interaction (HCI) You are
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management and the abandonment of agricultural land. Another part of your job will deal with the biodiversity implications of re-wilding, based on data from multiple WILDCARD partners as
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tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl. endoscopic, MR-, US-guided) Surgical training