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role in shaping the research direction by selecting study regions, refining analytical approaches, and integrating methods across atmospheric science, remote sensing, and epidemiology
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planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental
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open position aims at this problem domain, with a particular emphasize on formal methods (in a broad sense) in order to increase trust that the resulting system satisfies the desired (non-)functional
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to the deep-sea environment. You will apply a range of methods, including echo sounders, moored sensors, hydrophones, cameras, environmental DNA-analysis and remote sensing, in a balanced study design across
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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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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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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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administration. OR equivalent combination of relevant education and experience. Preferred Qualifications PhD in computer/data science/statistics or an applied social science OR JD with sufficient technical
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cases of next generation wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We're looking for people driven by excellence, excited about
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rolling basis with start dates as early as 1/1/2026 and as late as 3/1/2026. Group or Departmental Website: https://simpsoba.su.domains/ (link is external) How to Submit Application Materials: Please upload