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healthcare, and fostering authentic community engagement and integration. UTRGV is a distributed campus, one university spanning four counties and multiple locations. Our purpose is to be a university for the
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The smart optical networks lab (SONL) at the Electro-Optics Communication (ECO) group at Eindhoven University of Technology is recruiting for a PhD position to research novel fast controlled photonic
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about the department at www.es.aau.dk . Your work tasks AAU cybersecurity group is seeking a highly motivated PhD researcher to join our team focusing on secure and privacy-preserving collaborative
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 23 days ago
learning, privacy, security and distributed systems. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10411 Requirements Skills/Qualifications We are looking for a candidate with
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of DC systems, electric mobility, battery technology, power electronics, and electromechanics. The group is currently active in applications such as Direct Current distribution and transmission grids and
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. Job Requirements: PhD in Geophysics, Seismology, Civil/Structural Engineering, Engineering Mechanics, Applied Physics, Electrical/Computer Engineering, or a related field. Strong research record in
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Lab. Minimum Qualifications A master’s degree in business or related field from an accredited institution is required, but some preference will be given to those with a PhD/DBA in marketing or a related
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Application + Your name] in the subject line. You will need (1) a CV, (2) a Personal Statement, which is a one- to two-page document introducing yourself and outlining your motivation for PhD research, (3) a
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to principal investigators, faculty, administrators, and staff on sponsored and non-sponsored financial activity. The position is responsible for analyzing complex financial information, identifying and
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Hydroinformatics – Uncertainty-Aware Optimisation for Robust Water Distribution System Operation The PhD candidate will develop uncertainty-aware, model-based multi-objective optimisation methods to support robust