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3 Apr 2026 Job Information Organisation/Company Radboud University Research Field Psychological sciences » Behavioural sciences Researcher Profile First Stage Researcher (R1) Application Deadline 3
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Development (LED) Work, Health and Performance (WHP) In the document, at the very end of the vacancy text (under 'Attachment'), you will find specific information about the four PhD positions. Please read
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell data analysis
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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Simulation – Data Analytics and Machine Learning (IAS-8) at Forschungszentrum Jülich, which is dedicated to pushing the boundaries of data science theory and application. Our research spans from use-inspired
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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 2 months ago
identified. The project is collaborative and interdisciplinary, combining criminological, sociological, and data-analytic approaches. While the overall direction of the research is defined, the successful
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Infrastructure? No Offer Description Work group: IAS-6 - Theoretical Neuroscience Area of research: PHD Thesis Job description: Your Job: This PhD project bridges between classical analytical methods and modern AI