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potentially using a mix of remote sensing, vegetation/habitat data, field data, and camera trap data to model connectivity for large mammal species and/or migratory birds. Expected project outputs will include
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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
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: Bioclimatology Forest Inventory and Remote Sensing Forest Botany and Tree Physiology Ecoinformatics, Biometrics and Forest Growth Forest Genetics and Tree Breeding Forest Policy and Forest History Forest Work
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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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in the use and exploitation of high spatial and temporal resolution remote sensing data. An interest in causal discovery and inference is more than welcome. The candidate will be required to interact
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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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solutions. To this end, the position combines hydro-economic modeling, remote sensing data, and scenario simulations. The PhD project entails extending an existing hydro-economic multi-agent model with high
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Engineering, Communications Engineering, Computer Science, or a related field, with a focus on wireless communications, signal processing, radar/remote sensing or space systems Several years of relevant
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. Therefore, we would encourage you to complete and submit your application as soon as possible. Where to apply Website https://jobs.cranfield.ac.uk/vacancy/research-fellow-in-remote-sensing-in-tea-a
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misalignments. 4. Dissemination and contribution to the mission • Present results to CNES, ESA, and industrial partners (Airbus, Winlight Optics). • Contribute to conferences in atmospheric remote sensing and