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material properties. Finally, the two technologies will be combined to create integrated devices. The industrial partners will provide application-specific use cases, environmental testing expertise and
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annotation, and emerging machine-learning and generative methods for spectra or structure proposals. Evaluate and test emerging technologies (hardware and software) in close interaction with collaborators and
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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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RODI to fundamental and applied drift studies. Testing, benchmarking, and validating RODI as a drift sampling tool through direct comparison with traditional sampling methods. Contributing
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also be opportunities to design novel bioelectronic implants and develop specialized control software Profile We are seeking highly motivated applicants with a background in physics, material science, or
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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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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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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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: 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