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Field
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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and
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) invites applications for a 1‑year researcher position in remote sensing (possibility of extension). This role is aimed at candidates holding a PhD, prepared to lead project tasks and produce publishable
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remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 23 days ago
European Project IRHIS (Interoperable Remote Health Innovation brought to Scale). About UCAM-SENS UCAM-SENS is a leading research unit dedicated to digital transformation in healthcare, sports, food, and
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7 Dec 2025 Job Information Organisation/Company Faculty of Science, Charles University Research Field Computer science » Other Geography » Cartography Technology » Remote sensing Researcher Profile
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remote sensing and data science, including data reduction and analyses, statistical methods and software development. Applicants are expected to have strong expertise in one or more of the following areas
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skills in remote sensing, AI, ecological modelling, and policy engagement, working across disciplines and continents. The project includes an industrial supervisor to support non-academic training and
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to support the management of forest resources and ecosystems. The PhD candidate will focus on integration of the extensive amount of data collected by forest machines with remote sensing data to further
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12.11.2025, Wissenschaftliches Personal Join our team in a collaboration between TUM and Politecnico di Milano! Develop cutting-edge methods combining remote sensing, physics-based modeling, and
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | 3 months ago
self-generated data in the field-, and to explore the potential of remote sensing to unlock the relationship between vegetation history and the distribution of ancient economic and settlement remains