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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 15 hours ago
, Finance, and Management. You will develop strong analytical skills, publish in top journals, and join a global academic network. This fully-funded programme includes advanced courses, close faculty support
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diverse backgrounds (e.g., economics, computer science, information systems, engineering, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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professor from Department of computer science. The Biostatics group is a part of Department of Plant and Environmental Science, Faculty of SCIENCE, University of Copenhagen. We are located at Taastrup campus
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Supervisors: Dr Jun Jiang (Reader), Mechanical Engineering Department Deadline for application: 30/10/2025. Early submission is encouraged. Funding mechanisms: Fully funded by Imperial College, IDLA
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The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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, the School encompasses the broader field of Earth sciences, including economics and social sciences. Our program is open to applicants who have a Master's degree (with written thesis) in physics, geophysical
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! The interaction between terahertz (THz) radiation and the collective vibrational modes of biological macromolecules is an emerging field in physical chemistry. Terahertz radiation can be exploited to studying
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. The University of Luxembourg is committed to...
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demonstrate suitable experience in computer science, machine learning, robotic vision, or a related field (through a high-quality Honours or Masters degree). The successful candidate must be able to enrol as a