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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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100%, Zurich, fixed-term The enhancement of endoscopic videos is a critical yet complex task. These videos are integral to various clinical interventions, where the clarity of imaging data is
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is to clean up, organize, and prepare the diverse datasets collected during the Cloudlab seeding experiments. This involves working with data from a suite of in-situ and remote sensing instruments
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microscopy and synchrotron radiation (ex situ, in situ). Data Analysis & Interpretation: Drawing conclusions from experimental and simulated data. Scientific Reporting: Publishing and presenting research
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of this project is to identify factors that impact sustainable consumption. Job description The student will assist in searching data sources and assembling a database. They will work closely with the research team
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80%-100%, Zurich, fixed-term The Biomedical Data Science (BMDS) Lab investigates data-driven solutions for healthcare applications with a focus on neurological conditions such as spinal cord injury
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automating the detection of individual tree species in forests using deep learning. Specifically, you will: Focus on the application of deep learning techniques in Python to process spatial and aerial data
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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