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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
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are looking for a candidate with perseverance and a committed spirit. You also have: a Master’s degree in Logic, Computer Science, Mathematics, Artificial Intelligence, or a related field; a solid background in
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and Computer Science AI/Machine Learning Nanotechnology/Devices (more...) Artificial Intelligence, Machine Learning and Autonomy Health Tech Microelectronics BioNanotechnology Material Science and
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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Are you passionate about advancing sustainable mobility solutions? Do you enjoy working at the intersection of artificial intelligence, optimization, and energy management? We invite applications
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Vacancies PhD Candidate in Explainable AI for Earth Observation Key takeaways With the growing integration of Artificial Intelligence (AI) in geospatial decision-making processes, ensuring
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limiting their ability to perform essential daily tasks. This interdisciplinary PhD project aims to design a new generation of soft exoskeletons using smart textiles, driven by artificial intelligence (AI
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beyond the borders of their own discipline. The research carried out at the Faculty of Science is diverse, ranging from mathematics, artificial intelligence, computer science, astronomy, physics, chemistry
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classical disciplines such as mathematics, astronomy and mechanical engineering as well as interdisciplinary fields, such as artificial intelligence, pharmacy and evolutionary life sciences. Our community is
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering as well as interdisciplinary fields, such as artificial intelligence, pharmacy and evolutionary life sciences