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Field
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structures. You have a strong interest in the international and transnational dimensions of education and in researching educational practice beyond national borders. You have a clear affinity with qualitative
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or computer science Experience with UNIX-like operating systems Mathematical and programming skills (Python, Machine Learning) Basic understanding of molecular forces and structures Excellent knowledge of written and
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are conducted within the units Traffic Systems, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology. The research is
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Campus website. Structured research and supervision Yes Research training / discussion Yes Support for international students and doctoral candidates Specialist counselling General services and support for
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into their applicability and associated challenges Further development of the stability assessment to increase its applicability Proposal of digital substation measurement structure based on requirements from a derived
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force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute significantly
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in shaping material choices, structural properties, and life cycle performance? How can uncertainty in LCA results during early design stages be modeled and communicated, ensuring that sustainability
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) , was created. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest
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. This position will be part of the Environmental Psychology research group (see https://env-psy.univie.ac.at/about-us/) and will be supervised by Profs Sabine Pahl and Alexandra Brausmann (environmental economics
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Modelling (WCPM) . Find out more about the research group at https://koczorbenda.wordpress.com/ Requirements and eligibility: Applicants must have, or be predicted to obtain, a good degree (2.1 or 1st class