385 master-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" positions in Denmark
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high degree of self-motivation, creativity, accuracy, and a structured approach to problem solving. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD
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direct relevance for sustainable groundwater protection and drinking water safety. Main responsibilities include: Establishing and operating microfluidic and laboratory-scale experimental setups relevant
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focuses on optimizing the synthesis and scalable production of a thermodynamic promoter for gas hydrate–based CO2 capture. Primary responsibilities Conduct independent and collaborative research
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. Below is a selection of your primary areas of responsibility: Conduct structured interviews with clinicians to assess needs related to therapeutic drug monitoring Identify and engage relevant hospital
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innovation, with a strong focus on digital health. We are dedicated to addressing four grand challenges that shape our vision for a healthier and more sustainable future. We educate bachelors and Masters
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to disseminate your work in international peer-reviewed journals and at international conferences. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent
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Quantitative research methods / Cross-cultural data analysis Social and health inequalities / Sociocultural determinants of health The main tasks of the successful applicant include Following and analyzing
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application. Curriculum Vitae. Master’s and bachelor’s degree certificates or equivalent, including transcripts of grades (copy of original/official English translation). Completed TEK PhD application form
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Assistant professor in Analysis and Modelling of Nitrogen Cycling, Losses and Emissions in Croppi...
contributing specifically to the area of nitrogen flows, losses and emissions in agricultural systems, their quantification and modelling, as well as their relation to crop fertility and productivity. The main
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around building and deploying AI in healthcare. The main case will be automation of anesthetic pre-screenings. Potential auxiliary cases include evaluation of laparoscopic surgery and AI assistance