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pipelines to support the labs long-term research interests Proactively manage the labs genomic data resources Supervise and mentor PhD and Masters students in comparative fungal genomics Assist in
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relevance Profile Interested candidates should meet the following requirements to be eligible for the position: A PhD or Doctoral degree in Energy Systems, Computer Science, Applied Mathematics, or a field
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to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi-modal data into interpretable, scalable prediction and advising models. ICARUS
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documents: CV with list of publications A one page summary of your PhD (up to 3,500 characters) A two page presentation of your research plans during your time in the professorship (up to 7,000 characters
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depth. PhD degree in Physics, optical engineering, biomedical engineering, electrical engineering, or closely related fields Excellent skills in development of complex optical systems Experience in
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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involve teamwork, including coordination with PhD students and other postdoctoral researchers. It is important to demonstrate the spirit of collaboration without compromising research independence. Your
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quantities that enter ab-initio QT simulations of nanoelectronic devices. In this context, we are seeking a post-doctoral fellow who will be part of a team that also comprises two PhD students and will closely
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foundations of agentic reasoning, in close dialogue with complex real-world problems. Essential requirements: PhD (or near completion) in AI/ML/NLP, Computer Science, or related * Strong research track record
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Zurich, Basel) and the University Hospital Heidelberg / German Cancer Research Center (Heidelberg, Germany). Project background Glioblastoma (GB) is the most aggressive primary brain cancer in adults