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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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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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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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techniques, machine learning, and Large Language Models (LLMs). Knowledge in Human-Computer Interaction (HCI) and Usability Engineering. High level of English (minimum B2). LanguagesENGLISHLevelExcellent
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) and satellite platforms, and surface energy balance models will be used to obtain evapotranspiration (ET); computer vision and machine learning techniques will also be used to identify and count fruits
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or equivalent Research FieldEngineering » OtherEducation LevelPhD or equivalent Skills/Qualifications Skills in acoustics (PhD in acoustics required) and acoustics software. Skills in machine learning and deep
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validating the models that will be used in the laboratory's tasks. Knowledge of new machine learning methodologies such as deep learning is required. Previous knowledge in the field of health sciences
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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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phenotypic ontologies (HPO) and phenotype-genotype analysis. Knowledge of machine learning tools applied to genetic analysis. LanguagesENGLISHLevelExcellent LanguagesCATALANLevelExcellent