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or natural sciences Bioengineering or materials science Medicine Computer science, physics/biophysics, or applied mathematics If you’re excited about interdisciplinary research and ready to grow as an
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Degree Doctoral degree (PhD) Course location Nürnberg Teaching language German English Languages The course languages are English and/or German. Programme duration 6 semesters Beginning Only
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, photon science, materials science and ultrafast X-ray science. What these data challenges have in common is that they cannot be addressed with standard computational methods but rather require modern data
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magnetic fields of quantum systems at the atomic level (Nature Nanotechnology 19, 1466 (2024)), e.g. in emerging quantum materials such as 2D materials. The research is carried out in our newly established
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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sus-tainable
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Humboldt Universität zu Berlin / Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | 3 months ago
to contribute to and actively participate in the academic program of the RTG. Depending on the location of the primary supervisor, the workplace will be either in Berlin or Hannover. Willingness to travel
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Description This PhD project builds on ongoing research projects in the area of photocatalytic membranes at IAMT. Current work will be expanded to (select) novel materials and membrane preparation
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Description This PhD project builds on ongoing research projects in the area of Nanofiltration for Contaminant Removal at IAMT. Novel nanofiltration membrane materials will be examined with
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. Candidate´s profile: • Master’s degree in Life Sciences, in Computational Biology or MD degree • Previous research experience in immunology • Experience in flow cytometry, cell culture and in high-dimensional
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equipment Opportunity to work in the highly interdisciplinary and exciting field of neuromorphic and brain-inspired computing, collaborating with physicists, neuroscientists, materials scientists, and