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Field
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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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Your Job: You will join the Simulation and Data Lab `AI and Machine Learning for Remote Sensing`, which aims to enhance visibility in interdisciplinary research between applications from remote
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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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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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for Remote Sensing`, which aims to enhance visibility in interdisciplinary research between applications from remote sensing and large-scale AI with high-performance and innovative computing. You will conduct
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sciences, physics, applied mathematics, engineering, remote sensing or a closely-related field. You must have demonstrated programming skills (preferably Python or Fortran). You are expected to work
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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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environemntal data from remote sensing products is an advantage Field work experience in sampling of environmental samples is an advantage Lab work experience in environmental microbiology is an advantage proven