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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
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to overcome the limitations of single-panel partitions. The work will involve analytical and numerical modeling of wave propagation and transmission, the design of hybrid ABH architectures, and the optimization
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conferences. • Contribute to the writing of scientific publications. Optional : • Design Machine Learning (ML) potentials. • Code in FORTRAN and PYTHON to improve the functionality of the global
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multidisciplinary project. The candidate may be offered the opportunity to teach, and their training will be a priority of the supervisors. LanguagesENGLISHLevelGood Additional Information Benefits The Chemistry and
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. Recent advances in Deep Learning [LeCun2005] make it possible to study approaches based on neural networks to solve complex problems. These networks are resource intensive, often making them difficult
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candidate to acquire expertise in (vitro)ceramics and glass crystallization mechanisms, and will train them in the characterization of new crystalline materials with diverse properties (optical, ionic
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
, calibration methods, and simulation-based inference. - Programming experience with Python and relevant machine learning libraries (e.g., PyTorch, TensorFlow). - Curiosity and analytical ability to define
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machine learning e.g., GNNs, graph representation learning, hierarchical or probabilistic graph models Strong analytical and problem‑solving abilities, with enthusiasm for developing novel computational
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applications, for example in machine learning and mathematical statistics Participation in the scientific activities of the department, e.g. seminars, workshops and schools organised by the members
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Package 6), equipping them with advanced skills in reservoir modeling, machine learning, advanced oxidation processes (AOP), and microbial enhanced recovery. DCs will also develop intuitive fluid chemistry