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FLOW research group is a young, dynamic group working in the fields of thermodynamics, fluid mechanics, and data-driven modelling. At the Department of engineering Technology (INDI) — Thermo and Fluid
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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understanding on the origin of nucleic acids that are shed in liquid biopsies, such as blood, using cancer models (mouse and rat) and patient samples of neuroblastoma disease, a rare childhood cancer. Nucleic
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. System Modeling: Develop and refine photonic system models incorporating key quantum mechanisms. Use simulation tools (Lumerical, Synopsys, Matlab, Python, …) to validate architectural feasibility and
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environmental, economic, and social sustainability of offshore wind farms (OWFs) across their full lifecycle. The platform will integrate life cycle assessment (LCA), marine ecosystem impact models, and a digital
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-motivation, flexibility and team spirit. Experience with techniques such as cell culture, CAM model, qRT-PCR, fluorescence microscopy and/or bioinformatics would be a plus. Your teaching competences are in
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data collected from a geothermal borefield in Brussels, modelling activities of subsurface heat transfers between borehole heat exchangers, and the development of strategies for the optimal integration
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in one or more relevant fields Excellent writing and speaking skills in English Conditions of employment We offer you a full-time PhD scholarship, starting on 1 February 2026 or as soon as possible
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methods to study dynamic cellular processes (live calcium imaging, pathological protein assembly, imaging of signal cascades) at spatial levels ranging from a single molecule to (entire organs of) model
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analyse levels of identified proteins in a larger patient population as well as an animal model of the Fontan circulation.• You will use in vitro techniques and immunohistochemsitry on an animal model