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. Eligibility criteria: We seek highly motivated candidates with interests in remote sensing and coastal ecology. The candidate will work closely with supervisors, but should have a strong and independent ability
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with different departments in SLU and other universities in Sweden. The doctoral student will work in the Division of Forest Remote Sensing at SLU in Umeå. The work will contribute to the large European
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Division of Forest Remote Sensing at SLU in Umeå. The work will contribute to the large European project FORWARDS and therefore travels within Europe should be expected. Qualifications: Required: Master
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science for policy impact Experience in bioinformatics analysing metagenomes (taxa and functional genes) is an advantage Experience in extracting environemntal data from remote sensing products is an
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 4 days ago
volcanoes, and is faulting influenced by alteration due to weakening and permeability changes? You will work with drone and remote sensing techniques at selected calderas and ring faults. You will map
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awarded 1 Eligible courses Any applicable Curtin HDR courses. Eligibility criteria Honours / Master’s degree or equivalent qualification in a relevant area (e.g., satellite ocean colour remote sensing
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) remote sensing is highly preferable; ability to perform mountain fieldwork in challenging conditions; excitement and curiosity to think and work across disciplinary boundaries; excellent English oral and
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coupling plants, biogeochemical cycles, ecosystems, and environmental conditions, and/or statistical analyses of large datasets, including from remote sensing, as well as strong quantitative and programming
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in ecosystems (RESILIENCE) we are offering a PhD position for a self-motivated candidate with a strong scientific background in the fields of ecology, remote sensing, environmental sciences, data
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in ecosystems (RESILIENCE) we are offering a PhD position for a self-motivated candidate with a strong scientific background in the fields of ecology, remote sensing, environmental sciences, data