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and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
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Job Description Are you interested in the interface of technology and the human body? Are you eager to contribute to a better life for patients suffering of profound hearing loss by developing novel
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PhD candidate to join our materials and manufacturing (M&M) research team. The position focuses on the development of bioinspired randomly featured materials with enhanced energy absorption. As a
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. Become part
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. Empa is a research institution of the ETH Domain. The Biointerfaces Laboratory is offering a PhD position focused on development of engineered antimicrobial hydrogels. This project aims to tackle
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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing
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measure gravity of microscopic systems?”. Such questions and their implications for the foundations of physics are the driving force behind our research. You will be part of our team and develop new ideas
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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can
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, consumers, journal editors and guideline developers. Project 2: Integrating living evidence into adaptive platform trials to create efficiencies in research generation This project aims to explore
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | about 8 hours ago
epigenetics, biophysics, metabolism, biochemistry, cell biology, proteomics, bioinformatics and functional genomics. We train doctoral researchers to become self-reliant and to acquire and utilise the knowledge