248 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" positions in Switzerland
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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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the most recent draft of your thesis. Please note that applications without these documents will not be considered. More information about our research can be found at the website of Sustainable Food
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transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
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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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climate-neutral future . Curious? So are we. We look forward to receiving your online application, which should include: A letter of motivation Your CV Contact information for two references
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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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, data-driven frameworks that enable robust monitoring and condition assessment of infrastructure fleets. By combining smart sensing with distributed intelligence and advanced stochastic modelling