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advanced predictive control methods to optimize the operation of an integrated system of hybrid energy storage systems (i.e., multi-carrier energy hub or micro-grid) and high-tech greenhouses. These hubs
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-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical
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, gradually moving from 2D to 3D geometries using microfluidic devices fabricated in-house. You will be part of the Multiphase Systems group within the Process & Energy Department at TU Delft. The group
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emotions Process data and conduct a range of advanced statistical analyses (including computational methods to analyse high-dimensional behavioural and physiological data) Write high-quality scientific
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language-learning processes, such as implicit pattern detection during speech listening. The PhD candidate will test the hypothesis that late-developing, top-down cognitive abilities—particularly executive
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Models to push the frontier where computer vision, physics simulation, and embodied AI converge. Join Us! This position is part of a collaborative research programme between the University of Amsterdam
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Amplifiers (SOAs) Conduct applied research to validate models through experiments and integrate them into Process Design Kits (PDKs) Information Develop compact, physics‑based models for optical amplifiers
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28 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Simulation engineering Researcher Profile
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to conduct high quality academic research, reflected in demonstratable outputs. Motivated to teach, contribute to teaching processes, and to develop excellent teaching skills. Strong cooperation skills and
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audience. Desired requirements: You are trained in participatory, co-production, arts-based and audio-visual research methodologies. You are familiar with and trained in video editing and filming techniques