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tools and simulation models to (1) detect novel pathogens early through broad genomic screening, (2) support hospitals in mitigating the impact of pandemics through optimized data-driven decision-making
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for wind turbines, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime consumption while guaranteeing optimal power production
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on the design, optimization, and implementation of integrated quantum sensor architectures. As part of a multidisciplinary team, you will explore innovative, energy-efficient approaches to precision sensing in a
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numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as
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, Mechanical, Electrical or a related field) Solid background in the energy domain, ideally with experience in various energy forms (electrical, thermal, etc.) Interest and skills in numerical modelling Fluency
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that values open science, reproducibility, and career development, and numerous training opportunities in transferable skills For this function, our Brussels Health Campus (Jette) will serve as your home base.
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Department of Mechanical Engineering and the AI research group at the Vrije Universiteit Brussel (VUB) are looking for a PhD candidate to contribute to research on the optimization of a hybrid, laser-based
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for remote applications: A crucial aspect of this project will be the optimization and deployment of developed signal processing and machine learning algorithms onto resource-constrained edge devices
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, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications, written in English, should include: A cover letter including: A
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urban site with excellent infrastructure A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners