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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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Europe | 14 days ago
Lisboa (Iscte)Research Field: Electrical Engineering, Physics, Computer Science, Applied Physics/OpticsResearcher Profile: First Stage Researcher (R1)Application Deadline: 26 August 2025 – 23:59 (Lisbon
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structures. Accurate detection and quantification are therefore essential for quality assurance and structural integrity assessment. This project, supervised by Dr. Leandro Maio and Prof. Prasad Potluri, will
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. Early diagnosis and an accurate characterization of disease progression are critical for treatment and improving patients' quality of life. However, current methods rely on expensive and time-consuming
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related discipline. To apply, please contact the supervisor, Prof Foster - david.foster@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant
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A fully funded 3.5 years PhD position in the field of experimental nanoscience at surfaces and molecular imaging of conjugated polymers is available in the group of Prof. Giovanni Costantini at UoB
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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31st August 2025 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in Surface Treatment of Recycled Aluminium Apply for this job
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 6 days ago
is in the field of exploring stellar endpoints, e.g., supernova remnants and neutron stars. Successful candidates shall make use of various data from current radio, optical, and high-energy
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description