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the Institute of Applied Physics in Florence, Italy (IFAC) and to conferences in Europe to present scientific results. Knowledge of inverse methods, statistics or machine learning Knowledge of remote sensing from
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l'apprentissage machine (machine learning). L'imagerie spectroscopique au sens large, générant des masses de données toujours plus importantes, a particulièrement profité de ces concepts [1]. Avec le recul, nous
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in developing and applying niche models, and population models. Experience with machine-learning will be considered as a plus. Knowledge of paleogenomics, population genetics and isotope geochemistry
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on well-resolved experimental data from the first task and use open-source machine learning libraries like Anomalib. 3. Application in a complex DFFB regime: A new experimental setup will be developed
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Specific Requirements - Étudiant possédant un Master 2 ou Diplôme d'école d'ingénieur en informatique, Spécialités Computational Linguistics, Traitement du Langage Naturel (NLP), IA ou Machine Learning
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relevés de notes.The candidate must have a master's degree in computer science with a component in machine learning methods and/or language engineering. The thesis grant will be the subject of a competition
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on low cost computer vision and machine learning, simulation assisted plant phenotyping and machine learning based data mining for plant biology. Description of the project My research mainly focuses
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, Infrastructure - Algorithm, Data Analysis, Extraction and Modeling knowledge, Machine learning. The candidate's research can be carried out at all stages of the life cycle and at all software layers. The candidate
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Brain Barrier (BBB), CNS Drug Delivery, Brain Shuttles, Brain Imaging, Medicinal Chemistry, Computational Science, Artificial Intelligence (AI), Machine Learning. MAIN SUB RESEARCH FIELD OR DISCIPLINES1
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. Specific Requirements Experience in one or more of the following is a plus: • image processing, computer vision; • machine learning; • bio-inspired computing; • research methodology (literature review