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Field
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FieldComputer science » OtherEducation LevelPhD or equivalent Skills/Qualifications CANDIDATE ’S PROFILE The candidate should possess a PhD in machine learning or computer vision and have a strong publication
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announcing a selection process for an indefinite employment contract within the framework of a Line of Research Research Line: Machine learning applications https://www.upv.es/entidades/SRH/conypi
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parameters, such as temperature, reaction time, and precursor ratios, with key structural features (e.g., shell thickness, roughness, and porosity). By integrating machine learning (ML) and molecular dynamics
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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
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of machine learning tools in the process industry - General research tasks (scientific article writing, oral presentation of results, document management, etc.) - Technoeconomic analysis and life cycle
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parameter estimation Knowledge of advanced Bayesian methods and samplers, machine learning approaches to signal processing; additionally other methods such as simulation-based inference Good computing skills
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básicos de Machine Learning. // Basic knowledge of Machine Learning. • Habilidades en Ingeniería de Redes y Computación en la Nube-Edge. // Knowledge of Network Ingenieering and Cloud – Edge computing
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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Requirements Educational Requirements: Artificial Intelligence. Deep Learning. Computer vision. Reasoning methods based on first-order logic. Design of complex computer systems. Professional Experience: In LLM
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techniques, machine learning, and Large Language Models (LLMs). Knowledge in Human-Computer Interaction (HCI) and Usability Engineering. High level of English (minimum B2). LanguagesENGLISHLevelExcellent