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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 9 days ago
19 Sep 2026 Job Information Organisation/Company Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt Research Field Medical sciences Researcher Profile First Stage
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-reviewed journals and present them at international conferences; contribute to teaching activities within the department for a limited part of your time. Information and application Are you interested in
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of the key challenges facing the hydrogen economy: understanding how hydrogen interacts with the complex microstructures of circular steels and causes degradation and failure. This position is part of
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on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future
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the human brain recognizes and interprets complex natural auditory scenes and to uncover computational principles shared by biological and artificial systems. The PhD project is part of NASCE (Natural
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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in
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Support Grant (RTSG) during the course of the project The project can be undertaken on a full-time or part-time basis. Eligibility This studentship is only open to Home applicants. To be classed as a home
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will publish at top machine learning venues while producing open datasets and tools with tangible societal impact. You will be expected to spend a small part of your time (up to 10%) on teaching
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, with a three-month probationary period. The anticipated start date is 1 October 2026, or another date as mutually agreed. Introduction The built environment is becoming increasingly “intelligent” through
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artificial intelligence. The PhD research project is part of the new Norwegian Maritime AI Center , led by NTNU. Agentic AI systems are moving rapidly from research prototypes into real-world applications. In