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Field
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understanding of these cold cloud systems. About us At the Division of Geoscience and Remote Sensing , part of the Department of Environmental and Energy Sciences , we conduct research, education, and utilisation
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range from molecular analyses of the (holo)genome to remote sensing analyses at a global scale, through individuals, ecosystems and landscapes. The lab groups ca. 80 persons, including researchers and the
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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to make a difference. If this sounds like you, you’ve come to the right place! Responsibilities: Conduct original research on joint communications and radar sensing for spaceborne systems, with a focus on
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of conceptual and numerical models describing sediment material properties, sediment and water transport, leveraging in-situ and indirect measurements such as geophysical and/or remote sensing
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 19 days ago
/m/x) in Non-Invasive Optoacoustic Sensing 102892 Full time 39 hrs./week Neuherberg near Munich At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing
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engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 3 Apr 2026 - 23:59 (Europe/Athens) Country Greece Type of Contract Temporary Job Status Negotiable Is the
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natural range of variability in sediment concentrations on the Neosho River at non-gaged locations via remotely-sensed satellite data and (2) determine flow/SSC release thresholds that will not result in
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neurovascular research in close collaboration with clinical teams. Main responsibilities and duties: Coordinate and manage activities within the neurovascular research laboratory Provide support to PhD students
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stakeholders Candidate Profile Required Qualifications PhD in Remote Sensing, Geospatial Sciences, Environmental Science, Climate Science, Data Science, Urban Studies, or related fields Strong background in