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operations research, algorithmic discrete mathematics, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic
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that complement your work. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is an internationally oriented university with a strong
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Biosafety you will be responsible for ensuring compliance with all relevant legislation and biosafety standards within this ambitious project. Your expertise will help drive the successful realization
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standards, synthesized within the project by a collaborating PhD student; designing smart sampling strategies to capture PA diversity in plant-derived foods; investigating the fate of PAs during food
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attention and the introduction of the Green Deal on Sustainable Healthcare, there is an urgent need to transition towards a more sustainable and circular healthcare sector. The project consists of two main
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opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. As you get going, you’ll gain
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receive support and mentorship in the design and implementation of your PhD project. You will develop a training and supervision plan with your supervisory team and be part of the ReGeNL training programme
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Onderwijs & Examinering). In the LK-network VET teacher teams design, implement and evaluate new assessment programmes, building on the principles of Programmatic Assessment and intended to foster and
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CWI is involved in the project as well. To support academic and personal development, PhD candidates follow courses and assist in teaching Earth Sciences external link at Bachelor's and Master's level