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2 Sep 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering » Electronic engineering Researcher Profile Other Profession
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system?” The project will begin with the design and construction of a simple benchtop experimental phantom in which fluid volume can be altered in a controlled and independently measurable manner. Purpose
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infrastructure Job description We are looking for an enthusiastic and talented PhD student to join the NWO-VIDI project 'Not-Just-Water' to investigate the impact of extreme water events on (infra)structure
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
The project will develop ultrafast optical logic and memory concepts using spatiotemporal metamaterials. The doctoral candidate will design metamaterial structures coupled to quantum emitters for ultrafast
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doctoral degree Collect, structure and assess relevant sensor, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results
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the Norwegian Railway Directorate. Duties of the position Complete the doctoral education, including at least 30 ECTS of coursework, and obtain a doctoral degree Collect, structure and assess relevant sensor
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
Materials / Electronic Structure & Quantum Many-Body Theory / Nanoscience / Solid State Spectroscopy / Solid State Ionics & Batteries / Bioinspired Materials / Quantum Electronics / Organic Electronics
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties