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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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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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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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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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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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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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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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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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into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive experimental calibration. Embedded in the Helmholtz Graduate School for Data Science in Life, Earth
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in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation Good organisational skills and