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if you have any of the following: Prior experience with inverse modeling or parameter estimation. Experience in microscopy or microfluidic lab environments. Experience with open-source codes
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psychological methods or a related discipline. Experience coding in R and Python (or related computer programming languages). Excellent written and spoken command of both English and Dutch. What else do we offer
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
department Methodology and Statistics gives you the opportunity to kickstart an academic career. Your position Research: The Future of Mixed Methods Research is Rigorous, Open, and Scaleable through Automation
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27 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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16 Jan 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Computer architecture Computer science » Computer hardware Researcher
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of interaction and urban design, where your research can shape the vision of open and accessible cities! Join Us! This postdoctoral position integrates data-driven and human-centered research methods first to
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selection. However, currently, no unbiased method exists to accurately estimate genetic variance in populations under selection. The GEN project aims to develop and validate a general method to quantify
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in populations under selection. However, currently, no unbiased method exists to accurately estimate genetic variance in populations under selection. The GEN project aims to develop and validate a
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simulation tools are being developed to better estimate the effect of design changes on the tire performances – especially relevant at the early stages of the development of new tires. Approach Although
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, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference, probabilistic