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numerical modelling tools, i.e. a depth-averaged (2DH) and a 3-dimensional (3D) model, in the TELEMAC modelling system (www.openTELEMAC.org ) to simulate the fluxes and fate of plastics in the Scheldt Estuary
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applications for a PhD position in robotics, with a focus on state estimation, localization and mapping (SLAM) in dynamic and uncertain environments. The research will center on the integration of commercially
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fundamental research on Event-based Model Predictive Control; Monitor the work plan of her/his individual research project and make sure that milestones are achieved and deliverables are finalized in a timely
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trained in the theoretical modelling of the chiral surfaces. You are a motivated researcher with a Master in physics, chemistry, nanotechnology, or related fields. You have knowledge of scanning tunneling
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passionate about sustainability, clean energy, and water treatment technologies?Are you skilled in machine learning, process modelling, or chemical engineering simulations?Are you excited by the idea
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Reference Number BAP-2025-702 Is the Job related to staff position within a Research Infrastructure? No Offer Description To reliably use simulation-generated predictions in science and engineering, one needs
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supervising practicals and work sessions. - Knowledge of English at least at European CEFR level B2, - Experience and/or interest in molecular imprinting, electrochemistry, electronics, sensors and surface
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engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 31 Mar 2026 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time
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excellent programming and modeling skills, essential for simulation and control development Experience with building energy simulation tools (e.g., Modelica, IDA-ICE, EnergyPlus) and/or IAQ modeling is an
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. the light curves and spectra) of these stars analytically and through numerical methods, based on binary stellar evolution models. You will also investigate potential observable signatures of binary evolution