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tools and modelling concepts will be developed for separation process design. As the position is new to our research programme, your expertise will play a role in defining its focus areas and methods
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from the University of Helsinki (UH) and two from the Natural Resources Institute Finland (Luke), who together with a large network of international collaborators form a multidisciplinary team of experts
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of Excellence in Tree Biology that brings together ten PIs from the University of Helsinki (UH) and two from the Natural Resources Institute Finland (Luke), who together with a large network of international
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consider national and international networking, experience and evidence of external research funding, experience in multidisciplinary research and collaborative projects, teaching and supervision experience
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. The salary is defined in accordance with the University’s salary system for teaching and research personnel, composed of task specific and personal performance components. The University offers comprehensive
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expected to have attained other academic achievements. Successful candidates are requested to demonstrate engagement in international academic networks and must provide evidence of their ability to work in a
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, and intelligent decision-making across distributed manufacturing networks. Specifically, the work will include: Development of a digital twin for a manufacturing production system. Development
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topics. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine
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conferences, publish in academic journals, plan and apply for research funding, participate in the activities of the research group, and assist in supervision and teaching activities. Your network and team
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must have completed their doctoral degree less than five years ago at the time of starting in the position (a net period of time, which does not include parental leaves, military service etc.). good