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. You will investigate existing approaches to Systems Engineering at our industrial partners Canon Production Printing, Rademaker Industrial Bakery Equipment and VMI machinery. Building
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of this PhD position is to contribute to the design of models and mechanisms that enable risk-aware optimisation of grid capacity and facilitate market participation for large-scale ESS, providing solutions
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analyzing experimental data. Has demonstrable affinity with the topic of sustainable consumer behavior. Has excellent communicative and project management skills to handle the multiple stakeholders involved
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purification, ideally involving recombinant membrane or viral proteins. A strong interest in virus–host interactions, viral replication mechanisms, and antiviral drug development. Experience with, or a clear
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, or a related field. You are motivated by deep scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and develop new methods and concepts. You have
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. mixed effects regression models and/or Bayesian statistics). You have experience in conducting empirical research (e.g., experimental design, stimuli selection, recruitment, participant testing, report
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of the University of Tilburg, especially in the field of Systems & Operations Management. About the organisation The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering
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. After initial experimental results, further research is guided by trial and error with the goal of deriving intuitive trends. Data-driven approaches are attractive alternatives. Descriptors are used
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you need to have excellent theoretical, experimental, and writing skills. You also expected to write and present excellently in English. You will mentor BSc and MSc students and work collaboratively
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mobilized to drive new value chains, and how impact investing and true pricing mechanisms can support the growth of circular business models. Your work contributes directly to the development of a future