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For Applied Energy Res Work Location Lexington, KY Grade Level 52 Salary Range $107,994-183,581/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information
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about the PhD programme, https://www.cbs.dk/en/research/phd-programme . CBS PhD graduates are held in high esteem not only in academia and research institutions but also in government and business where
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. Strongly Preferred Qualifications: Expertise in weather forecasting or climate modeling/dynamics; Familiarity with theoretical and practical aspects of scientific deep learning; Experience working with
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leadership. Unlike a traditional software engineering role, this position requires deep scientific engagement, technical leadership, and hands-on system building, from early design through a fully usable
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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) a PhD in a quantitative discipline such as computer science, mathematics, statistics, engineering, or a related field. Strong programming skills and experience in machine learning or statistical
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Czech Academy of Sciences, Institute of Information Theory and Automation | Czech | about 2 months ago
machine learning, perception psychology, hardware prototyping and/or computer graphics as well as interest in fundamental research and experimental working. Strong skills in VR, deep learning, computer
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generate, transmit, and detect OAM-entangled photons under realistic atmospheric turbulence. Deep learning algorithms will be employed to pre-compensate distortions in real time, maximizing state fidelity
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for a candidate with: an MSc in computer science, artificial intelligence or a related field a creative and collaborative mindset strong programming skills in Python or Rust strong skills in deep learning
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
languages) # Knowledge of modern deep learning frameworks (e.g. pyTorch, Tensor-flow, Jax, ...) # Experience working in Linux shell/cluster environment and on shared resources # Experience of collaborative