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be in advanced courses in chemistry or material. Alternatively, you have gained essentially corresponding knowledge in another way. A strong background in one or more of the following areas is
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, from fundamental theory, laboratory experiments, and detailed numerical simulations, to mesoscale pore network modeling and upscaling to continuum-scale theories that can be applied in application
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their structure and electrochemical performance, and using this knowledge to engineer application-relevant devices? We are seeking for a curious, self-driven doctoral researcher to develop active, durable, and cost
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
provide a dynamic environment that empowers excellence with state-of-the-art technologies, cutting-edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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Neuroimmunology Research Group: https://vhir.vallhebron.com/ca/recerca/neuroimmunologia-clinica · Cemcat : https://www.cem-cat.org The successful candidate will work on the project “Deciphering the Pathogenic
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more reliable designs. The student will use advanced numerical simulations at KU Leuven to model the impact of large waves on OFPV structures, capturing key processes such as wave breaking, overtopping
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. • Knowledge of Optical Coherence Tomography or Quantum Optical Coherence Tomography preferred but not mandatory. • Very good command of spoken and written English. Tasks: Development and
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Number req26728 Department Pharmacology and Toxicology Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacology-toxicology-department Medical Sub-Speciality Location
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like to contribute to an ambitious research project combining behavioural studies, fMRI and computational modelling? If so, then we invite you to apply for this PhD position in the Cognitive Neuroscience
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between nanomaterials and biological systems; • experience in cell culture and in developing in vitro biological models, including 2D and 3D models, spheroids or other tissue models; • knowledge of methods