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(https://excelsior2020.eu/ ), ERATOSTHENES CoE aspires to become a Digital Innovation Hub for Earth Observation and Geospatial Information by offering knowledge, responsible research, open innovation and
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Job related to staff position within a Research Infrastructure? No Offer Description PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 15 days ago
to optimize object placing. Knowledge and experience in programming, robotics, machine learning methods is necessary. Profile 2 (RAT4Autism-speech): this task is part of a project on robotic assisted therapy
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experience in conducting classes in the field of quantitative finance and machine learning); knowledge of the English language at a level sufficient to teach at undergraduate and graduate level; very good
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, Skills, and Abilities Knowledge of teaching and learning practices Knowledge of theoretical and applied concepts of Digital Marketing and Marketing. Ability to demonstrate best practices of written and
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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
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computational mechanics and scientific machine learning. The successful candidate will work on the design of hybrid, physics-informed modeling and identification frameworks for complex dissipative material
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of the ERC Consolidator project AUTOMATIX (see details below), we are seeking a PhD candidate to develop machine learning approaches for constitutive modeling. Context With the advent of machine-learning (ML
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classes on quantitative finance and machine learning); knowledge of English at a level sufficient to conduct classes for first- and second-cycle students; very good knowledge of R and Python programming
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the “EXCELSIOR” H2020 Teaming Project (https://excelsior2020.eu/ ), ERATOSTHENES CoE aspires to become a Digital Innovation Hub for Earth Observation and Geospatial Information by offering knowledge, responsible