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                Employer- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); 16 Oct ’25 published
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                Field
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                institutes, creative industry, elementary schools, experts-by-experience, therapists, and societal organisations. We are looking for an independent post-doc, with multi-stakeholder project experience 
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                Organisation Job description Within the Department of Operations, a post-doc position is available on the topic of logistics for customization in education with self-regulation. A paradigm shift is 
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                interlinked sub-projects are devised, conducted by one PhD candidate, and one Post doc. As a PhD candidate and postdoctoral researcher, you will conduct educational design research, i.e. a development study 
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                machine learning and artificial intelligence with advanced simulations methods, to predict material properties and reaction mechanisms. This approach enhances the ability to design materials tailored 
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                well as recent neuroscience insight on the brain's core computational primitives. Job requirements We are looking for a highly motivated post-doctoral researcher with extensive experience in advanced machine 
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                also welcomed). Cover letter (maximum one page) explaining your interest in this project. Contact details of two references. Copy of one publication, thesis, or essay as a writing sample, preferably of a 
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                simulations including heat pumps, buffer storage, and building demand. Using monitoring data from the experimental façade at TU Delft’s Green Village to calibrate and validate models. Investigating control 
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                Postdoctoral Researcher in Gravitational Wave Astroparticle Physics (GRAPPA, University of Amsterdam, talks). It is a preference if you additionally have experience with GW source/environment modelling, post-Newtonian/perturbative methods, cosmological simulations, or GW data analysis. This is what we 
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                to water-based heat exchangers. Extending these to system-level simulations including heat pumps, buffer storage, and building demand. Using monitoring data from the experimental façade at TU Delft’s Green 
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                of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after