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- “HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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occurring below ground. Trees allocate a substantial proportion of their carbon below the surface to sustain roots and symbiotic mycorrhizal fungi, forming a dynamic exchange network that governs water and
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research program that brings together physics, chemistry, and machine learning. Your research tasks will include: Uncertainty Estimation in Deep Neural Networks for MLFFs Implement and test uncertainty-aware
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aspects of machine learning focusing on efficiency, generalization, and sparse neural networks. Currently we are expanding our expertise by applying our theoretical findings also to robotics. Hybrid is our
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; a proactive, solution-oriented mindset; strong networking and collaboration skills; strong skills in conducting conversations with potential clients and collaborators that lead to successful project
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: Archeometallurgical analyses SEM-EDS microscopy and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network analysis of iron production Other
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collaboration with food companies and industrial partners. Generate industry engagement by organizing technology showcases, developing pitch materials while leveraging industrial networks. Define and execute
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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | about 2 months ago
through scientific publications, institutional web pages, social networks and media, following indications received from the group leader; - Continuous training in the research areas of the department. Work
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and login to GMS (gms.georgetown.edu ) using your Net ID and password. Then select the Career worklet on your GMS Home dashboard to view Jobs at Georgetown. Submission Guidelines: Please note that in
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular