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(SustainCARE, https://doi.org/10.3030/101220359 ), led by Dr. Yun Liu. SustainCARE brings together heritage science, building physics, advanced modelling, and climate-conscious preservation, offering a unique
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Job description: At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about brain research, with a background in
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Distributed machine learning takes advantage of communication and
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 5 hours ago
International PhD peers, staff and supervisors Participation in international conferences Diverse intercultural background of students To find out more about DLGS fellows, see https://dlgs-dresden.de/fellows
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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ . Project
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than 1,800 employees and nearly 21,600 students. The subject of Human Work Science at Luleå University of Technology is seeking a PhD Student for an exciting research environment focused on work environment
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Autonomy in Demanding and Long-Lasting Environments - https://cradlerobotics.co.uk/ ) and will work closely with Work Package 2 (Architectures) and Work Package 5 (Demonstrators). With support from
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thresholds with severe consequence at turbine, farm, and portfolio scales. Three pillars drive the approach: (i) identifying and prioritising the most informative simulations and inspections via intelligent