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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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for the design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https://www.pepr-diadem.fr/ Where to apply E-mail mohamed.jebahi@ensam.eu Requirements
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architectures (e.g., convolutional neural networks or transformers); deep specialization is not required. Exposure to Generative AI concepts and large language models (LLMs) is a plus. Proficiency in Python
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sustainability, environmental systems, and spatial data Skills in the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants
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the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on control Experience in collaborative and international projects Experience/knowledge in HIL systems
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on cybersecurityl Knowledge and experience on advanced modelling Knowledge and experience with the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on vulnerability
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community visit: https://greateriowacity.com/build/area-advantages/ The position will begin in Fall 2026, with flexibility in start date based on candidate availability. The initial appointment is for 1 year
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 1 month ago
similar Where to apply Website https://www.iisgm.com/ofertas-de-empleo/ Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Minimum job requirements: • Degree
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part of change This position is part of the PhD project under Horizon Europe MSCA Doctoral Networks "FOCAL" (https://cordis.europa.eu/project/id/101169042 ): Architecture design and effective routing
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their results in the context of the clients. Analyses will be conducted with several software packages for statistical data analysis (possibly including R, SAS, Python, …). The new colleague may acquire new