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-world application through collaborations. Supervise master/bachelor students Teaching assistant for the robotic materials class Profile PhD degree in Materials Science and Engineering, Mechanical
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Publishing research findings in leading international journals and presenting at conferences Active involvement in teaching and lab duties outside of the project (~15-20% of working time) Profile PhD in
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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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ideal The chair is not a good environment for strict analytic philosophy projects, but is open to projects that integrate analytic philosophy methodologies We offer The position is full time (41 hours per
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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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Publications in top ML conferences and/or prominent journals in materials sciences and device physics Enjoy collaborating with other researchers in a friendly environment Be willing to supervise junior PhD and
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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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Zurich, PSI, and international partners More information about the project and the group can be found on our website . Starting date: flexible in 2026 Employment: full-time Profile PhD in physics or a
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connectivity Profile PhD in neuroscience, biology, bioengineering, or a related field Strong background in cell culture, including primary neurons or iPSC-derived cells Experience with electrophysiology (e.g