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the BENEFIT project, funded by the French National Research Agency (ANR), to work on active flow control and machine learning. 1- CONTEXT -------------------- Active flow control aims to modify velocity fields
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Energy Modelling”. The PhD candidate will be supervised by supervisors from DTU and Chalmers. This project will integrate energy technology, building physics, HVAC systems, control systems architecture
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: The candidate should hold an MSc degree in neurobiology, biology, biotechnology, medicine, or a related field. Excellent command of English (spoken and written) is required. The candidate should have a solid
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-processing and preparation of environmental samples, including filtration, digestion, separation, contamination control, storage and organisation of samples, as well as for the adaptation and implementation
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, a CNRS researcher at the Laboratoire Ondes et Matière d'Aquitaine (LOMA). “Controlled morphing of deformable materials through spatio-temporal control of ultrasonic wave fronts” “Morphing” is a
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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. Emphasis will be placed on the analysis of size, number, and material characteristics of particles generated by tribological processes in brake systems. Measurements will be carried out under controlled
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16 Apr 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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28th April 2026 Languages English English English We are looking for a skilled PhD Candidate in Scalable Data-Driven Control for Energy-Flexibility Smart Buildings Apply for this job See
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-time robotic control and AI pipelines. You will design and tune control algorithms to ensure precise, stable, and safe remote robotic operation under communication constraints. You will develop and