240 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Rijeka" positions in Netherlands
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- University of Amsterdam (UvA); Published yesterday
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missions from study to end of operations. It develops the science operation systems for the missions and operates the missions in space, as well as archiving and curating their data during operations and
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obtain information about the norms and behaviour of others. A combination of agent-based modelling and experiments will be used to examine how people perceive social norms on climate change topics and how
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Exploiting the Geometric Landscape of Infinite-Dimensional Sparse Optimisation” led by Dr. Marcello Carioni at the University of Twente. More information about this here . Infinite-dimensional modelling has
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accuracy and strong attention to detail, with a demonstrated ability to work autonomously and exercise sound judgement and discretion when handling confidential and sensitive information. Proven ability
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, you bring: A completed academic degree with demonstrable knowledge of the research and publication process Experience in an academic or research environment Strong data analysis skills Knowledge
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further, please contact us via email at contact.human.resources@esa.int . Important Information and Disclaimer In principle, recruitment will be within the advertised grade band (A2-A4). However, if the
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planning and control procedures to provide full visibility on the progress of all activities using established procedures and information systems, including maintenance of risk related data; actively
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the uptake of Copernicus data in the Latin America and Caribbean (LAC) region with an initial thematic focus on disaster risk reduction and recovery. The CopernicusLAC initiative will rely on cooperation
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researcher, you will engage with students and staff to collect rich data, perform qualitative analyses, co-author open-access papers, and co-create a dilemma game – a reflective tool for teachers, support
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motivated PhD Candidate to strengthen our team. The position aims to use Earth Observation data to improve understanding and modelling capabilities to provide more reliable projections of future fire dynamics