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contributing to department teaching activities; this responsibility also builds communication and management skills of PhD students Profile You have completed a Master's Degree relevant to Paleoclimate study
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strong skills in molecular and cell biology techniques, including cultivation and engineering of primary human cells and mammalian cell lines. Experience with in vivo techniques, as well as completion
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includes opportunities to present results at international conferences, publish in leading journals, and mentor Masters-level projects. Requirements: Applicants must hold a Master’s degree in Physics
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(https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed to sustain and promote an inclusive culture, ensure equal opportunities and value diversity and respect in
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), INSERM (FR), University Utrecht (NL), SciCross (SE), RD –Néphrologie SAS (FR), University of Bern (CH). For more information https://www.cordis.europa.eu/project/id/101225380 Your Research Environment In
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the research infrastructure of the ETH Zurich Disseminate research results in peer-reviewed journal articles and at international conferences Profile Essential experience, skills and characteristics: A master's
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to the supervision of Master's students and selected teaching activities within the BMDS lab Profile Qualifications: Master's degree in Computer Science, Biomedical Engineering, Data Science, Cognitive Science, or a
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approaches. The research will also design a European-scale turbidity and sediment monitoring framework combining in situ observations and satellite remote sensing. Where to apply Website https://jobs.unibas.ch
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two hours per week (during the semester). Master Degree in Political Science or related areas Skills in quantitative methods and/or computational methods (e.g. text-as-data methods) Strong command of R
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, in German) Contribute to the activities at the Political Science department Master's degree in political science or related discipline Skills in quantitative methods and/or computational methods Strong