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at system level. In this PhD project, you will develop the measurement and analysis methods needed to make these environments observable. You will design and validate a cost-effective, synchronised multi-node
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develop towards research independence. People have always been at the heart of our work. Our people are at the centre of the University community and everything we do. We value colleagues with drive
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, childhood, family, poverty, and inequality. Candidates are invited to develop a research project in one of the following areas: The material and emotional cultures of children protection work The contested
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learning and data science professional who wants to make a real-world impact? Do you have a specialisation in machine learning and affinity with project management? Do you want to apply advanced AI solutions
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gas mixtures at low temperatures; use optical diagnostics to visualise and quantify solid CO₂ layer formation, growth and morphology; analyse heat and mass transport phenomena during desublimation
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inspired by notions of energy, leading to highly efficient, local learning rules. What are you going to do? As a PhD candidate, you will develop mathematical theory for learning in nonlinear and dynamic
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 12 days ago
UFAST – Hamburg Research The program offers exciting research opportunities at ultra-intense electron and X-ray sources to directly observe atomic motions during primary events. The use of ultrafast
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opportunities? Do you have a background in electrical power engineering, operations research, or a related field, and are you interested in energy systems and markets? As a PhD candidate with us, you will work
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electrochemical water purification technologies. What are you going to do? In many industrial processes, chemicals are added to treat water, clean installations or separate substances from each other. Before
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at: http://mgmt.au.dk . Further information Application deadline: October 12, 2026. Workplace: Universitetsbyen 61, 8000 Aarhus C. Hours per week: 37 The minimum length of employment as research assistant