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Field
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description After use only a small amount of electric and electronic equipment often containing toxic compounds for the environment is being recycled; the remainder leads to a large e-waste problem that is
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the motivation letter. We have all you need to execute your ambitious research: cleanroom facilities, optical, electronic and chemical labs and most importantly lots of fun people to work with. Competences you
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Welcome to Maastricht University! The world is changing fast, and we’re changing with it. At Maastricht University, your work makes a real difference – whether you’re exploring the future through
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reasoning to integrate data and theory. Methods include regression analysis, experiments, Bayesian modeling, and abductive reasoning. Our work in this area also covers how firms learn and protect knowledge
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strategies. In this context, the role of cell types other than cardiomyocytes is becoming increasingly relevant, opening up potential new avenues for risk stratification and treatment. Would you like to know
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analysis (preferred) Proficiency in English and Dutch (as the project involves direct communication with patients and hospital employees) What we offer At Maastricht University, you’ll work in an
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Do you want to work on the next generation robot skin to give machines a sense of touch so that they can grab and swiftly manipulate large and heavy objects? Are you passionate about contact and
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population monitoring, or ecosystem functioning measurements Good knowledge of the Dutch flora Experience with data analysis in R Strong organizational and communication skills Experience in spoken and written
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PhD candidate who will contribute to Work Package 3 of the Add-reAM project, a large NWO-funded interdisciplinary programme: Universities: TU Delft, UTwente, TU Eindhoven, Erasmus University Rotterdam
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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 1 month ago
patient outcomes. You will use a real-world case study on cystic fibrosis that allows the new methods to have direct impact. You will be part of a multidisciplinary team of statisticians, data scientists