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Field
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project, you will explore the use of formal methods from computer science (program synthesis and probabilistic programming) and control systems analysis approaches to derive human understandable strategies
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applicants will work as part of the Groeien met Groen Staal (GGS) programme, which aims to make the Dutch steel sector CO₂-neutral by 2050. Steel is crucial to modern society and plays a significant economic
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Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and inspiring education. We do so, driven by curiosity and supported by
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project, you will explore the use of formal methods from computer science (program synthesis and probabilistic programming) and control systems analysis approaches to derive human understandable strategies
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applicants will work as part of the Groeien met Groen Staal (GGS) programme, which aims to make the Dutch steel sector CO₂-neutral by 2050. Steel is crucial to modern society and plays a significant economic
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, electrical engineering, technical medicine, or a related field. You have a solid background in biomedical signal analysis, physiology dynamic system, and machine learning technologies, and preferably have
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The successful applicants will work as part of the Groeien met Groen Staal (GGS) programme, which aims to make the Dutch steel sector CO₂-neutral by 2050. Steel is crucial to modern society and plays a significant
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analysis; proven experience with mathematical/computational modeling of experimental observations; experience with colloidal synthesis; proven experience with optical and fluorescence microscopy techniques
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data, and primarily focus on developing medical image analysis and AI methodologies. The project is a collaboration with Radboud UMC, ProBCI (Dutch Bladder Cancer Infrastructure), and IKNL (Netherlands
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Do you want to help us make AI more efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis