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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
highly motivated PhD-level Research Specialist to lead and support innovative research at the intersection of cell biology, metabolism, and tumor immunity. Our laboratory studies the intersection of cell
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other relevant stakeholders. The PhD student will contribute to the prototype development, feasibility test and evaluation of innovative cross-sectoral pathways and will be involved in data collection
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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of Amsterdam, under the supervision of Prof. Noushine Shahidzadeh (expert on crystallization and sol-gel process in confinement) and Prof. Hannelore Derluyn (expert in micro-CT 3D imaging for porous media
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11th October 2026 Languages English English English The Department of Circulation and Medical Imaging has a vacancy for a PhD Candidate in Exercise and Brain Health – The MolEx Studies PhD Candidate
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at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems. The PhD researcher will be
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leading to a PhD degree Conduct high-quality research within robotics, mechatronics, and product development Design, prototype, and experimentally validate robotic and mechatronic systems for automated
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of positions: 1 Scientific Area: Electrical and Computer Engineering. Admission requirements: The candidate must be enrolled in a PhD program in Electrical Engineering at a Portuguese Higher Education
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medical devices. TRIAGE is a cluster randomised cross-over trial, currently in set-up, which will evaluate whether MIDI (Magnetic resonance Imaging abnormality Deep learning Identification), a Class I SaMD
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intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three distinct problems: rare