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for science). We do so by bringing together a diverse team of PhD candidates who will focus on three key areas: 1. Probabilistic and differentiable algorithms for machine learning; 2. Programming language
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this position, the chosen candidate will conduct research on how machine learning techniques or XAI can be leveraged by heuristic algorithms, or conversely, how heuristics can be enhanced by incorporating machine
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students in the classroom, or helping shape everything that makes our education and research possible. PhD Opportunity: Engineering a Next Generation of Miniaturized In Vitro Models Our goal: Develop
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programming applications (e.g., experimental design, machine learning for science). We do so by bringing together a diverse team of PhD candidates who will focus on three key areas: Probabilistic and
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, Department of Mathematics and Computer Science. The student’s working locations will be at Eindhoven University where the PhD candidate will be supervised by experts in combinatorial optimization, machine
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doctoral projects will work on enzyme design, bioprocess design, and machine learning tools to create sustainable bioprocesses. PhD project In this project, you will work on designing a scalable bioprocess
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algorithms) Proficient in English. For information please check the Graduate Schools Admission Requirements. Familiarity or interested in using machine learning is also desiered. TU Delft (Delft University
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Vacancies PhD position in Design of Forward and Reverse Supply Chains for Additive Manufacturing in Maintenance Key takeaways We are seeking a highly motivated and curious PhD candidate
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opening for a fully funded 4-year PhD position. We are looking for highly motivated applicants for a PhD student to strengthen our research team in an interactive and collaborative environment. Learning non
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opening for a fully funded 4-year PhD position. We are looking for highly motivated applicants for a PhD student to strengthen our research team in an interactive and collaborative environment. Learning non