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, with a focus on pressure-dependent studies of Ruddlesden-Popper-type nickelates of different chemical compositions. Profile Required qualifications: Master's degree in Physics, Materials Science
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Zurich. Experience in practice-based research in the art and design with light and daylight, or relevant research (demonstrated by project portfolio, publications, or PhD thesis) Masters degree in
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formats for publication Rationale for why LUS is an ideal host The main content must adhere to the 4-page limit, using 11 pt font and single-spacing. Supplementary pages may include up to three
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with primary endothelial cell culture and standard molecular techniques (flow cytometry, Western blot, qPCR, ELISA) Experience working with organ-on-chip or microphysiological systems is a plus First
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with the following documents until January 31st, 2026: Curriculum Vitae, including names and contact information of 1-2 referees Copy of Bachelor's and Master's degree certificates A short motivation
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pages max, submitted as pdf file, named: Lastname_Firstname_Research Statement.pdf), to include: the identification of the principal research field(s) or topic(s) of interest an outline and a summary of
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date) Full transcript from undergraduate studies (both Bachelor and Masters) Copy of Master’s or Bachelor’s thesis (PDF) At least two reference letters Applications will be reviewed as they are received
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generalization. Profile You hold a Master's degree in Computer Science, Data Science, Biomedical Engineering, or a related field. You have strong Python programming skills and a proven track record in developing
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data expertise are required. Your primary goal will be to contribute software and technical support to the Swiss LISA Data Center and the international LISA Distributed Data Processing Center
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal