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Field
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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environment. OUR MISSION: Support Energy transition by providing innovative composite solutions or optimizing the usage of existing solutions in demanding Energy and Mobility applications. Our laboratory
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community. Main Tasks and responsibilities: Collaborate with theoretical and experimental partners to design and characterize optimized altermagnetic devices for information processing. Fabricate nanodevices
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in the operation of the world’s most sensitive interferometers, and/or the R&D program for future detector improvements. Examples include optimizing the squeezing of the vacuum to minimize quantum
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at meetings A long-term interest in contributing to the overall mission of our research Additional qualities for this position include: Expertise with optimization, data science, and analytic techniques
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equations (PDE) or PDE-constrained optimization), scientific machine learning, and scientific computing (esp. for time-dependent quantum systems). Larsson group The position will involve developing methods
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Institute of Medical Biology Chinese Academy of Medical Sciences (IMBCAMS) | China, Nuevo Leon | Mexico | 20 days ago
The Institute of Medical Biology Chinese Academy of Medical Sciences (IMBCAMS) has launched the global recruitment program of tenured/tenure-track professors and outstanding postdoctoral researchers
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monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance
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. Xiaojie Qiu (Genetics & Computer Science)(link is external) and Dr. Matteo Molè (Obstetrics & Gynecology)(link is external) . Our goal is to explore the “black box” of early human pregnancy by mapping
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modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling