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. Key Responsibilities: Develop and run a Cu–Cu hybrid bonding flow for fine-pitch 3D integration. Optimize process windows (pressure/temperature/anneal/surface activation) to minimize contact resistance
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artificial intelligence in a collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X (Stanford University, USA). Qualifications PhD in process mineralogy, mineral
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integrated with perfused microvascular networks. The role will focus on optimizing and standardizing vascularized organoid workflows, executing drug-response and combination-therapy assays, coordinating single
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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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level. Qualifications: PhD degree in Synthetic Chemistry Technical Experience with the synthesis and purification of inorganic and/or organic small molecules and/or polymers, including air-sensitive
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
that enable personalized obesity treatment, optimize surgical outcomes, and reveal new therapeutic targets. The cohort size for this project is 60 operated patients. The main objective of the work to be carried
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for biocementation Perform numerical study of the model test. Analyze and interpret data to make informed recommendations for costal protection system design and optimization Writing and publication of results in peer
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. The goal of the PhD will be to seek mechanistic insight into the electrode polarization processes as well as strategies for improving performance by optimization of composition, microstructure, and the
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the Institute for Quantum Computing), and a PhD student who will start in fall 2026 to work on this project. ACCOUNTABILITIES - Summary research into the literature on high-rate LDPC codes: what codes exists
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with experimental and clinical teams to interpret results and translate findings into actionable insights. Design and optimize predictive models of drug response, including the use of digital twin