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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 hour ago
comprehensive analysis simulations using CAMRAD II at Mars aerodynamic conditions Post-processing and analysis of DNS, CFD, or comprehensive analysis datasets Geometry creation and mesh generation for simulations
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staff position within a Research Infrastructure? No Offer Description This research project aims to develop a synthetic dataset generation technique to optimize the training of neural networks (NNs
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), Multilayer Perceptron (MLP), Autoencoders, Convolutional Neural Networks (CNNs), and Kolmogorov–Arnold Networks (KANs). Desirable knowledge of Gradient Boosting models such as HistGBM, LightGBM, and XGBoost
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discovering robust biomarkers, relating scalp signatures to intracranial networks, and moving neuromodulation beyond bespoke experimentation into protocol‑driven care. This Postdoctoral Research Assistant (PDRA
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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 ICT Services
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) specialized in surface/interface analysis of batteries, which is a lab of the French Research Network on Electrochemical Storage of Energy (RS2E https://www.energie-rs2e.com/en/our-organization ), and the
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be found on our lab website: https://www.derosierelab.com/ Salary and benefits: ~€2300 net per month for candidates with less than 2 years post-PhD experience; €2450+ net per month for candidates with
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) Experience working across the XR system stack, including lower-level components such as sensing, networking, systems optimization, or edge/cloud integration Experience incorporating machine learning
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/Qualifications The successful candidate (m/f/x) is expected to actively contribute to the above project. The Post-Doctoral project should study the work and impact of (networks of) local and Indigenous plant
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and teaching. The Ethox Centre’s global health bioethics research is undertaken in collaboration with a wide range of international partners through the Global Health Bioethics Network, the Oxford-Johns