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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 13 hours ago
Degree PhD or (if applicable Dr rer nat) Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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for pharmaceutical and biotechnological use. The ideal candidate profile: Must-have: MSc degree in the fields of biophysics, soft matter physics, physical chemistry, computational chemistry, statistical mechanics
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biology, biotechnology, biophysics, neuroinformatics, neurocognitive science and other related fields,-you would like to develop your carrier not only in scientific field, but also in the business
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for the efficient formation of high-value compounds. Advanced NMR methods and computational data analysis will be compounded to devise novel reactions towards pharmaceutical precursors, polymer building blocks and
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nanoparticles and reactions at the atomic-level by combining path-breaking advances in electron microscopy, microfabricated nanoreactors, nanoparticle synthesis and computational modelling. The radical new
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Physics: Laser Spectroscopy, Dielectric and THz Spectroscopy, Biophysics, Medical Physics, Geophysics, Accelerator Physics, Observational Astrophysics. Program Highlights • Expert Faculty: Collaborate with
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) Atomistic classical simulations of macromolecules (v) Biophysics. You can write computer codes to solve some of the daily research problems and have experience with high performance computing. You should have
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is to guide the rational design of improved mRNA delivery systems to advance the efficacy of cancer immunotherapy. The ideal candidate profile: Must-have: Degree in the fields of biophysics, soft
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the field of biotechnology, bio-/chemical engineering, (bio) process engineering, bioinformatics, biophysics or biomathematics. Ideally you have Programming skills and knowledge on machine learning and
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for long-term monitoring to confirm successful restoration5. This exciting and timely PhD will develop and deploy a range of low-cost and open-source sensors to measure the biophysical properties necessary