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PhD thesis Resource-Aware AI for Next-Generation Networks. The PhD project will investigate resource-aware Artificial Intelligence (AI) mechanisms for next-generation communication systems. The research
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. The PhD will employ a combination of simulation and experimental validation. First, use and develop existing coronagraphic simulation tools in python to develop innovative algorithms, then conduct tests
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) processes and develops methods and algorithms to achieve a fundamental understanding of high-dimensional data and processes in the bioeconomy in particular. Bioinformatics at Forschungszentrum Jülich plays a
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look forward to receiving your application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through
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mathematics modules at all levels, as well as the PhD programme. Research interests in the Department of Physics currently include particle physics, condensed matter physics and materials science, dynamical
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state physics Technology » Nanotechnology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract
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include: Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines. Build reproducible research pipelines and maintain reliable
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Researcher (R3) Leading Researcher (R4) Positions PhD Positions Application Deadline 24 Mar 2026 - 00:00 (Europe/Monaco) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 23
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of particle-handling systems for the space environment, including the development of robust design criteria · Couple physics-based models and numerical simulations with optimization algorithms
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on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse backgrounds, e.g