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. Recognized by the EU as a cornerstone of the Clean Energy Transition, LECs empower local actors to participate actively in energy markets, support renewables, and enhance system flexibility. In this PhD
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into microscopy image analysis and analytical data analysis workflows, together with other team members Building new foundation models for microscopy image analysis Implementing AI-based microscopy image analysis
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 18 hours ago
Combined Master's degree / PhD programme Yes Joint degree / double degree programme Yes Description/content The doctoral programme at Frankfurt School offers rigorous training in Accounting, Economics
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and data meet What you contribute Master of Science (or equivalent) in Computer Science, Applied Mathematik, Engineering, Physics, or similar Strong analytical thinking and algorithmic understanding
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Your Job: In this PhD project, you will explore the stability and dynamic behaviour of inverter-based power systems, using state-of-the-art supercomputing infrastructure. You’ll work at the cutting
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PhD programme with a focus on data science and research in the structure of matter. The graduate school covers data challenges from application fields such as structural biology, particle physics
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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beyond research, offering targeted training in drone technology, data analytics, regulatory aspects, project management, and leadership skills. This ensures you graduate not only as a specialist in your
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scientific or microscopy data is welcome but not required. Strong analytical skills, scientific creativity, and the ability to work independently while collaborating in a team environment. Our Offer: We work
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group Integrative Food Systems Analysis / Section III are currently looking for a committed PhD Student to start on 01/05/2026. The position is part-time (TV-L 13, 65%) and initially limited to 3 years