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promising candidates for this goal, combining fast electrical control, compact device geometry, and excellent performance in a semiconductor platform. As this technology advances, one of the main remaining
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intensively towards major strategic themes . Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow . Working
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the aim is to establish fully integrated motor drives as a key enabling technology for sustainable electricity generation, high-efficiency industrial systems, lightweight transport applications, and
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | about 20 hours ago
combines experiments, quantum chemistry, and spectroscopy to study reaction mechanisms and to discover how solvation and catalyst design affect the rate and selectivity. Current projects focus on developing
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for candidates with A master’s degree (e.g. MSc, MEng, MPhys, MRes or equivalent) in a relevant engineering or physical sciences discipline, such as electrical/electronic engineering, general engineering
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of fully funded PhD positions at the intersection of artificial intelligence and the life sciences. Our network The Max Planck School of Biomedical AI (BMAI) brings together leading researchers from
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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1st October 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Robotics and Intelligent Mechatronic Systems
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consumption while maintaining high performance. Through innovative circuit design and technology optimization, the project aims to contribute to the next generation of energy-efficient and cost-effective