648 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in Netherlands
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- University of Amsterdam (UvA); Published 28 Nov ’25
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unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/358753/researcher-position/apply/ Requirements Additional Information Website for additional job details https
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to collaborate with and supervise Bachelor and Master’s students. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to
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on the individual DC projects can be found on the consortium website: www.integrate-dn.eu . Where to apply Website https://www.academictransfer.com/en/jobs/358012/16-phd-positions-to-advance-psy… Requirements
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details https://www.mbnresearch.com/MS-RADAM/DC-research-projects https://www.rug.nl/research/gradschool-science-and-engineering/ Work Location(s) Number of offers available1Company/InstituteUniversity
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and scientific activities to building (international) community efforts around data science and machine learning. As Science Operations System Engineer for Cloud Platform development, you will be tasked
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with new challenges in cybersecurity of the Dutch armed forces. The postdoctoral candidate will work on a project developing and evaluating forecasting models for the analysis of defense relevant
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while enabling secure data reuse across organizations Explore and apply AI, machine learning, and big data technologies to derive insights from microbiome data Analyze existing data platforms and portals
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preferably with data analysis and machine learning (e.g., Python, AI frameworks). You have strong analytical and problem-solving skills, with the ability to translate complex clinical processes into structured
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required. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship Within the Strategic Initiatives Team, you will contribute to: Conducting strategy
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adaptation, synthetic data generation, and cross-modal learning to enable models that generalize across defect types and machine configurations. This ensures scalable, accurate defect detection even in low