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Ph.D. and why the Experimental Soft Matter Physics group aligns with your career goals. While AI can help with language correction, we discourage using it to write the letter itself, as this may result
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processing approach based on flow patterning to make meter scale LCEs of complex shapes and actuation modes. ALCEMIST builds on a tight synergistic collaboration between the Experimental Soft Matter Physics
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years. In total there will be about 25 doctoral researchers who will conduct soft matter research combining fields as diverse as physical chemistry, spectroscopy, synthetic organic and polymeric synthesis
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states of matter • Physical phenomena with reduced dimensions • Soft matter and the physics-biology interface The first area groups together both experimental and theoretical studies relating
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Master’s degree in Chemistry, Physics, Biophysics, Materials Science, or a related field. Strong interest or background in soft matter, self-assembly, or nanoparticle systems (e.g., lipid- or polymer-based
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
opportunities for networking with colleagues and for sports and recreation alongside your work Experienced and friendly international research team with a strong background in biophysics and soft matter Cutting
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background in biophysics and soft matter Cutting-edge computational facilities, including the on-site top European supercomputers Excellent scientific and technical infrastructure Opportunity to participate in
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, Attosecond science , Biological Physics , Biology , Biophysics , Biophysics/Soft Condensed Matter Theory , Biotechnology , Casimir effect , Chemical Engineering , Chemical Physics , Chemistry , Coherent
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consist of about forty tenured staff which excel in research on topics such as String Theory, Cosmology, Hard- and Soft-Condensed Matter Physics, High-Energy Physics, Nanophotonics and Climate Physics
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The SnT Automation & Robotics Research Group is hiring a motivated PhD candidate for the bi-national project DOMINANTS (Dexterity-Oriented Methodology in Optimized Design and Control of Soft Aerial