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for modeling materials to be printed. - Formulation and DLP printing of GelMA materials loaded with MIL-100 and SBA-15. Optimization of formulation parameters (GelMA concentration, inorganic particle loading
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designed to support a PhD pathway in collaboration with the Institute of Computer Science at University of Bonn. Be part of change Your research focus Learning- and optimization-based methods for physics
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, synthesis, and optimization of organic, inorganic, and composite coatings Implementation and optimization of plasma deposition processes at low pressure and atmospheric pressure Characterization of
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/rDA). • Optimizing reaction conditions. • Assessing the generality of ihDA/rDA sequences. • Translating reactions into flow chemistry for real-time NMR monitoring (in collaboration with ANR SOFTNMR
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for these frameworks, and use them to analyze key performance indicators such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches to particle separation systems. · Optimize the design
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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of the elderly to space robotics. We are now looking for a Postdoctoral researcher in quantum algorithms and optimization. Are you as excited about quantum technology and its future applications as we are? We
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direction and publication. Research activities may include AI-assisted target discovery and biologic design, protein engineering and developability optimization, mechanistic studies in metabolic disease