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Curie Grant Agreement Number 101311389 Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim of this project is developing inverse modelling and optimization
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rock engineering, geophysics, geology and energy systems. The project offers a unique opportunity to work with leading researchers and industry partners while addressing one of the key technological
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Back to Search Postdoctoral Research Associate I, Translational Drug Delivery and Therapeutic Development Posting Number req26799 Department Medicine Department Website Link https://medicine.arizona.edu
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biological approaches, in vitro cell culture systems, and novel mouse models. Optimal candidates will have experience with immunometabolism and use of these techniques and models. The overall goal is to
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functionalities. Applies advanced knowledge of ASME Y14.5-2018 standards in performing tolerance stacks to assure fit and functionality of proposed designs. Performs design analysis and optimization to ensure
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Systems, Cloud/Green/Ubiquitous/Mobile Computing and Networking, Cybersecurity and Trusted Computing, Machine Learning, Data-Centric Computing, Computer Architecture •Power Electronics, Renewable Energy
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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | about 2 months ago
who are interested in applying their expertise to small-molecule drug discovery and translational biomedical research. The project will involve the development and optimization of cell-based and
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
optimization methodologies for the integration of flexible demand-side resources into energy flexibility markets. This plan complements the work already underway in the project, and there is integration among
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underground hydrogen storage. We are seeking a motivated PhD candidate in Mining and Rock Engineering to contribute to interdisciplinary research spanning rock engineering, geophysics, geology and energy
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etc. You will collaborate closely with the photonic device teams to understand how to co-optimize your designs to achieve best-in-class energy efficiency (pJ/bit), low-noise operation (in case