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80%, 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 (SCI
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. More information at www.unifr.ch/science/positions .
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. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital
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information for two references, which can be appended to the CV or provided as a separate PDF if you prefer. No reference letters are needed at the time of application, and we will notify you in advance if we
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maintain infrastructure and lab equipment (e.g. microtomes, automated stainers, and tissue processors). Track and manage samples and data with precision. Develop new protocols and methods. Implement quality
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. The successful candidate will bridge biological, behavioral, and cultural data to understand the emergence of gendered power structures across taxa and ecological contexts. While strongly rooted in evolutionary
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for this position and group. Research Proposal (1-2 pages) outlining a potential research project you would like to undertake. Contact Information for two academic referees Further information about
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. Further information about NEXUS Personalized Health can be found on our website . Questions regarding the position should be directed to Daniel Stekhoven, stekhoven@nexus.ethz.ch , and David Meyer, meyer
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frames). Project background The work focuses on data-driven generation of structural systems. You will be involved in developing, experimenting with, and evaluating machine learning models that help
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and relevant expertise Names and contact information for three references Academic transcripts (Master’s and PhD), including grade point average and English translations where applicable Please note