251 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" positions in Switzerland
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, you process collected data, prepare reports, and deliver results back to customers and internal teams - ensuring that every project is both professionally executed and well-documented. Further, you will
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) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
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research experience Contact information for reference letters from 3 referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or
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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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expected to take the lead role in their projects, publish manuscripts as the first author, and present their projects and data at lab meetings, as well as international meetings. We are looking for someone
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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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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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, NGS-based screening) Structural analysis: utilize computational structural biology tools to ensure designs maintain assembly competence and structural integrity Data integration: process and analyze
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teams while maintaining primary responsibility for experimental excellence and data integrity. You will work in an industry-leading Neuroscience department with a strong portfolio of preclinical and
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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