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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 3 hours ago
related disciplines with grades above average, have strong interest in combining theoretical and experimental work for reaction engineering and chemical analysis, have strong communication skills and
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in Odense, the third largest city in Denmark. Odense provides family-friendly living conditions with the perfect combination of a historic city centre with an urban feel and yet a close proximity to
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, largely due to the intrinsic instability of their active materials. A new class of materials, conjugated block copolymers combining electron donor and acceptor units along the same backbone, has been
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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on uncovering mechanisms of CNS myelination and neuroinflammation. The lab combines advanced in vivo imaging approaches with complex models of demyelinating disease to investigate glial cell dynamics, immune-glia
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of mass spectrometry vendor software, interpretation and troubleshooting of quantitative analytical results, presentation of results in oral and written for ms, supervision, or an equivalent combination
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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on a combination of chemical hydrophilicity and a specialised micro-texture that further enhances the wettability. Wettable surfaces in all three groups have intricate micro-topographies with striking
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unique opportunity to acquire a very broad skill set of biochemical, biophysical, bioimaging and molecular techniques, combined with diverse data analysis and bioinformatics skills. The project would suit
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in their production environment. This PhD project will leverage the extensive phenotypic data generated by CowFIT, in combination with other phenotypes from the Danish Cattle Database, to develop both