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of the SPUR group through a variety of activities, including: Conducting structured literature reviews; Collecting and analysing empirical data, using quantitative methods (e.g., surveys) and/or qualitative
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application portal. Applications via email or postal services will not be considered. Further information about our Department can be found on our website , consult our published work . Questions regarding
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we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about our Department can be
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, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data and process analysis to enable digitalized railway operations. Project background Safe and efficient railway
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Developmental Medicine will probe and integrate multi-omic data sets (i.e. genetic, epigenetic, transcriptional and metabolomic data) to create computational models defining the molecular signatures underpinning
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well as an annual research and consumable endowment in a dynamic research environment. Further information may be obtained from the Department management of the DBS, Prof. Broillet (Marie‑Christine.Broillet@unil.ch
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screening and profiling to lead a team of scientists dedicated to deliver innovative screening assays to enable hit finding campaigns and data driven decision making for small molecule projects. You oversee
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scientific data, and drive decision making processes. You are an expert in cell biology and assay development, in particular, knowledge in either Neuroscience or Immunology and a strong familiarity with high
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application including: A motivation letter (max. 2 pages) CV A writing sample (e.g., Master's thesis) Contact information for two references Please note that we exclusively accept applications submitted through
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-transportation system, we are looking for a: PhD Student in Data-Driven Policy Optimization for Transportation and Energy (100%) Project background Our energy and transportation systems are rapidly transforming in