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techniques along with machine learning–enhanced strategies for simulating coupled interactions in complex living systems. Project details: 1)“NEw generation MEthods for numerical SImulationS – NEMESIS”, Grant
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, the company is building the first AI-native maritime design ecosystem, offering end-to-end solutions across the vessel lifecycle, from early concept design to operational optimisation. The Machine Learning
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/Qualifications Technical Skills: Machine Learning. Systems control (advanced level). Matlab/Simulink. Python for Machine Learning. Specific Requirements Knowledge: Mechanical Engineering. Mechatronics. Modeling
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: Programming language proficiencyPython. Use of specialized libraries insignal processing and analysis. Application oflibraries of Python for machine learning development. Specific Requirements Knowledge: Signal
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of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php
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de València announcing a selection process for an indefinite employment contract within the framework of a Line of Research: R&D&i Line: Machine learning for the development of predictive artificial
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18 Sep 2026 Job Information Organisation/Company UNIMORE Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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machine learning, explicabilidad de modelos y despliegue de sistemas de monitorización (rendimiento, desviaciones y alertas. Grado en Ingeniería de la Ciberseguridad Additional Information Selection process
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leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php Offers of employment
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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 1 day ago
programming language and the PyTorch or TensorFlow environment is required. Experience in machine learning / neural networks is strongly recommended. Candidates must have validated a course in mathematical