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Field
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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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infrastructure, mobility demand, and power grid operations. On top of this environment, a deep-learning-based learning will be developed to enable decentralized and coordinated decisions on EV user charging
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subjects and research areas; Experience with one or more general purpose programming languages, for example Python, and general purpose deep learning frameworks, such as Tensorflow or PyTorch; An interest in
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is
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associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA
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including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $80,826 We seek a postdoctoral fellow with deep knowledge
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cleanroom facility. Deep expertise in lithography, E-beam evaporation, sputtering, and dry/wet etching is strictly required. Optical Bench Competency: Demonstrated success in designing, constructing, and
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
discuss modelling methods and assumptions without requiring full understanding the mathematical intricacies of the models. Your TasksThe work will involve a deep, critical questioning of practices in
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. The simulations will be part of a collaboration within the EU project SHiFT in relation to the Iceland Deep Drilling Project. Your responsibilities: Conduct original research on high-enthalpy geothermal systems
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Qualifications: A Master's degree and a PhD in Data Science, Mathematics, Computer Science, Physics, or in a related field In-depth knowledge in current methodology of AI (Deep Learning, generative AI, Explainable