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anthropology and social science to biostatistics and mathematical modelling as well as observational cohorts with biobanks. The Environmental Exposures and Health Unit (EEH) of EPH is focused on research related
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a MSc degree in ecology, botany, biogeography, environmental science or related fields. We are looking for a highly motivated candidate with a self-organized and solution-oriented work attitude
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(in English), a brief research statement (one page) describing your project idea in the field of physics-informed deep learning algorithms, one publication (e.g. MSc thesis or preferably a conference
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and a commitment to a collegial and inclusive workplace are essential. Applicants should hold a MSc degree in ecology, botany, biogeography, environmental science, computational biology or related
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to meet the following requirements: At the time of recruitment: Be in possession of a university degree (MSc) or corresponding qualification allowing you to embark on a doctorate. Candidates who are
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project meetings and participate in some teaching activities at ETH Zurich. Profile Project A: You have a MSc degree in environmental chemistry, geochemistry, environmental sciences or a related field, with
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forward to receiving your online application with the following documents: Curriculum (CV) detailing your academic qualifications and research experiences. Proof of your MSc degree and transcripts
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the world’s best standard of living. With a MSc Degree in Life Sciences, an excellent track record and good English skills you are welcome to apply to one of our PhD programs! Grab your chance and complete your
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assays (e.g. microbiological approaches, fluorescence microscopy) Start date as soon as possible, but no later than January 2026. Further project details will be discussed during the interview. Profile MSc
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collegial and inclusive workplace are essential. Applicants should hold a MSc degree in ecology, botany, biogeography, environmental science, computational biology or related fields. Very good written and