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shift is required in the organization of the logistics operations of educational processes to achieve a high quality situation where any learner at any time based on their own learning speed, level and
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who thrives in a multidisciplinary environment. You are self-motivated, solution-oriented, and eager to apply your skills to translational oncology research. You also have: A recent PhD in (bio)medical
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strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
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complex problems using innovative methods. You enjoy working with a diverse and international team and actively contribute to the success of the project. Moreover you have: A PhD in life sciences
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Village to calibrate and validate models. Investigating control strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners
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eager to apply your skills to translational oncology research. You also have: A recent PhD in (bio)medical physics or (bio)medical engineering. A strong interest in radiotherapy, CT imaging, dosimetry
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 14 September 2025 Apply now Join the BONSAI project
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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a regenerative food system in the Netherlands? Are you interested in being embedded in an interdisciplinary research team? Do you have a PhD degree and skills set that puts you in a good position to
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic