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Particle Tracking (3D-LPT) techniques for industrial applications. The work specifically targets applications in industrial wind tunnels, with a focus on the automotive and aerospace sector. The developed
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, for example at the Faculty of Science through the Leiden Complex Network (LCN2) and nationally through the Dutch Network Science Society. The candidate will be asked to engage in (limited) BSc, MSc and PhD
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working in High-Performance Computing (HPC) environments. Soft Skills: Proven track record of scientific publishing and the ability to mentor junior researchers (EngD/PhD students). Mindset: An analytical
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 18 May 2026 Apply now Contribute to one of the greatest
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teaching experience. This is what we ask of you You should: Have a PhD degree in philosophy, logic or related fields; Have an excellent track-record of publication in top journals in philosophy, logic
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ask of you You should: Have a PhD degree in philosophy, logic or related fields; Have an excellent track-record of publication in top journals in philosophy, logic or related fields; Have demonstrable
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in suitable push solvent, including flow-cell design. Both LACDR and dsm-firmenich have a strong track record in development and implementation of cutting-edge instrumentation to advance metabolomics
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which system theories to focus on). We will support you in developing a unique and coherent research trajectory to prepare you for what you wish to do afterwards (personal grant acquisition, tenure-track
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You hold a PhD in Computer Science, Artificial Intelligence, Applied Mathematics, Electrical Engineering, or a closely related field. You have demonstrated expertise in machine learning and deep
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to have obtained a PhD in engineering, with experience in concrete modelling and experimentation. The candidate should also have a proven track record in scientific publishing. A good command of English