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Field
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Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy
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available at the University of Stuttgart in the Faculty of Computer Science, Electrical Engineering, and Information Technology. The professorship will be part of the Institute for Large Area Microelectronics
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systems What you contribute Current enrollment in a Master's program or an advanced Bachelor's program in Electrical Engineering, Communications Engineering, Computer Science, Physics, Biomedical
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willing to enroll in a doctoral programme at the TUM School of Social Sciences and Technology. Contract: Full-time employment contract (40 hours per week) for 36 months, with social security, health
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master's degree in the field of electrical engineering, communications engineering or related fields Very good knowledge of optical communications Experience in: characterization and modeling of optical
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qualifications: The ideal candidate should hold a degree in Electrical Engineering, Computer Science, Operations Research or a related field. The ideal candidate should have a solid background in optimization
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 8 days ago
Deadline 16 Oct 2026 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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26 Aug 2026 Job Information Organisation/Company Ingpuls GmbH Research Field Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Biomedical engineering Researcher
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Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226887 Is the Job related to staff position within a Research Infrastructure? No Offer Description A PhD position is
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design