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manufacturing systems including design/modeling/control of manufacturing systems, cyber-physical systems, applied AI, smart manufacturing and data-driven discovery/optimization, among others. Strong written and
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Senior Data Engineer Department: ERIK | Office
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to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making. • Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 20 days ago
Research Engineer (f/m/x) 102864 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly
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solving and organizational skills. Proven ability to exercise good judgement, prioritize and manage competing deadlines in a fast-moving, deadline-driven department while maintaining accuracy, attention
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8 Mar 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Computer engineering Engineering » Electrical engineering Engineering » Sound engineering Computer
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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scoping to deployment and monitoring of production-grade models—with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and brings a strong
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, enrollment-driven revenue forecasting, and expense modeling. Directly manage key organizational contracts and provide operational support to teams for vendor selection, negotiation, and compliance with
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–12): State of the art and system modeling This phase will focus on an in-depth literature review on mobility management in satellite and non-terrestrial networks, as well as AI-driven networking