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incorporates probabilistic prediction models and hybrid optimization and machine learning techniques. This approach will enable the efficient assessment, planning, and offering of flexibility in scenarios
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“Heterogeneous Advances in Machine Imitation Learning for Training Orchestrated Navigation (Hamilton)” The CVC offers one pre-doctoral fellowship linked to the project “Heterogeneous Advances in Machine Imitation
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sustainability of biomaterial manufacturing through safe design methods, machine learning, and predictive life cycle assessment as well as developing machine learning and hybrid digital modeling methods, combining
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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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research 0 A5 Experience and training in managing techniques and methods necessary for the execution of the project: - Computational neuroscience and machine learning 20 A6 Stays at universities and/or other
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Skills/Qualifications Technical Competences: Programming: Python, Java, JavaEE, JavaScript, R, Android. Machine learning/AI frameworks: PyTorch, TensorFlow. LLMs (Large Language Models): Prompt Engineering
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Description Develop the doctoral thesis focused on Quantum Computing and Machine Learning for Power Systems Where to apply E-mail monica.aragues@upc.edu Requirements Research FieldEngineering » Industrial
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, members of the Vision, Language and Reading research group at the CVC. For more information visit: http://vlr.cvc.uab.es/ THE COMPUTER VISION CENTER The selected candidate will work in the Computer Vision
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/Qualifications Excellent computer skills (including familiarity with Windows and common office applications such as Microsoft Word and Excel) and willingness to learn specialized software Good written and oral
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of water treatment processes and laboratory techniques; Ability to prepare technical reports and contribute to scientific writing. Computer Skills: Proficiency in Office/Google Workspace tools; asic data