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Posting Description RESEARCH SCIENTIST 3, The Zhang Lab - Broad Institute of MIT and Harvard, with expertise in proteomics and peptidomes. This individual will develop and optimize quantitative and
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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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integrated circuits (EICs), and advanced packaging technologies. The co-design and optimization of these building blocks are essential for achieving breakthroughs in data rate, power efficiency, scalability
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pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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well as to the geometric optimization of the separator, including the swirl generator. Mandatory requirements PhD in mechanical, naval or aerospace engineering, or a related field. Proven experience in numerical simulation
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support. The PhD candidate will develop and validate a hybrid methodology that combines established stochastic optimization with AI-based learning. The aim is not only to develop new algorithms, but also to
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funded PhD position focused on the security, reliability, and efficient deployment of AI Transformer systems. The project examines how quantization, pruning, sparsity, KV-cache compression, and
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instrumentation into next-generation research facilities. Your responsibilities Working closely with scientists and engineers, you will Operate and optimize advanced UHV systems Develop and improve crystal growth
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; iv) Optimal operations of energy systems. A doctorate is required at the starting date. The candidate is expected to develop an independent and internationally competitive research program in our