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. This will be clarified with the candidate during and after any interview. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Electric Power Engineering
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. The candidate should have a good 2.1 Bachelors, or Masters degree in Electronic Engineering, Computer Sciences or equivalent. Experience in communications and networking, AI, or robotics is desirable but not
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at the Department of Engineering Cybernetics, will be announced separately. Your immediate leader will be the Head of the Circuit and Radio Systems group. About the project By analyzing the energy in signals
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databases and digital collections (such as newspaper archives, policy documents, and media sources) and apply techniques such as crisis event detection, computational narratology, and semantic modelling. In
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detection of chemical and microbial contaminants in rivers. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme, which is supporting new research
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Department: Electrical and Electronic Engineering Title: Intelligent Distribution System Operation for Low-Carbon Power Systems Application deadline: All year round Research theme: Power and Energy
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) degree (or equivalent) in a sport-related discipline or computer science. A keen and active interest in technology for sports performance analysis. Competent in using biomechanical techniques
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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community! In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on
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Research theme: Computational Electrocatalysis How to apply:uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded, and home students are eligible to apply. The successful candidate will