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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position (see: https://www.ntnu.edu/studies/phd/regulations ). Preferred selection criteria Experience with digital
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, functionality, and performance. You will join a team consisting of five other PhD researchers and colleagues from two additional departments (Electrical Engineering, and Mathematics & Computer Science). The team
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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6 Mar 2026 Job Information Organisation/Company Universitat Politècnica de València Department I.U.I. CMT - Clean Mobility & Thermofluids Research Field Technology Researcher Profile First Stage
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | 17 days ago
Doctoral School of Institute of Low Temperature and Structure Research of the Polish Academy of Sciences (DS of ILT&SR PAS) announces a special recruitment for a PhD student– scholarship holder (M/F) in
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collaboration partners totalling a maximum of 11 months. The doctoral studentship will be placed in Advanced Textile Structures Research Group in Textile Technology and includes studies of recycling strategies
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Technology . The position is for a period of 3 years. Desired start date: 1 May 2026 or earlier. The fellowship is part of TIES project “Tunable ion separations with micro-structured composite membranes
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integrated onto drone platforms engineered by project partners, with the objective of assessing the structural integrity of concrete façades. Objectives The objective of this PhD thesis is to develop a Machine
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply
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of 3 ½ years duration. The PhD studentship project will use state-of-the-art experimental structural biology and computational tools to gain a deeper understanding of the environmentally important