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& Economic Research (WSER), part of Wageningen University & Research, one of Europe's leading institutes for applied socioeconomic research in agriculture and food systems. In this role, you will acquire and
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep
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: Proficiency in Python and deep experience with ML/Deep Learning frameworks (e.g., PyTorch, Tensorflow, JAX, HuggingFace). Experience with RL and post-training methods (PPO, GRPO, DPO, reward modeling, RLHF
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relevant to the professional obligations of student assessment and evaluation, grading and reporting. Examination of effective strategies of assessment for, as, and of learning is at the core of this course
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on lncRNA structure. These experimental constraints will then be used to guide deep learning-assisted RNA 3D structure prediction tools, in order to generate ensembles of structural models. Clustering and
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. Demonstrated success in developing innovative programs, strengthening teaching and learning outcomes, and expanding industry partnerships. Deep knowledge of at least one of the School's disciplines, with strong
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
) Collaborative Context and Expertise Since 2018, EDF has been studying the construction of meta-models based on deep neural networks (i.e., deep learning). Initially, based on fluid simulations using Code_Saturne
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excellence. To learn more about our mission and work, please visit https://erik.osu.edu/ . Position Mapping Function: Research Administration Sub-Function: Technology Commercialization Career Band and Level
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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials
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catalysts can bridge fundamental insights obtained from flat model catalysts with advanced nanostructured electrodes engineered for real-world electrolyzers. This project combines deep dives into surface