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Field
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and remote sensing data from both the Arctic and Antarctic sea ice regions. Based on this new understanding, the candidate will develop parameterizations that can emulate these physics for use in more
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experience building or integrating physical sensing systems and running field experiments Knowledge of forestry, remote sensing or ecology Knowledge of Norwegian or another Scandinavian language Personal
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with prehistoric artifacts. The tasks associated with the position advertised here include geomorphological mapping using remote sensing methods and verification through fieldwork. Fieldwork comprises
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 7 days ago
meaningful.“ Get to know us Benefits Scientific Training: Helmholtz Munich Graduate School Career counseling: Career Center for PhD candidates Scientific Resources: State-of-the-art infrastruture and Core
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has access to 300m2 of labs for conducting experimental research and is supported by a state-of-the-art 800m2 cleanroom. With 11 tenured scientists and as many as 70 PhDs, postDocs and senior
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open-source materials, remote sensing and geospatial data, and survivor and witness testimony. The Centre's methodological approach is interdisciplinary, and the successful candidate will benefit from
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Aug 2026 - 23:59 (Europe/Andorra) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week
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algorithms on a four qubit quantum processor, realized baseband control of single spins, and demonstrated entanglement between remote spin qubit registers using spin shuttling. As a PhD researcher, you will
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relevant Master's degree in Cybernetics, Electrical Engineering, Remote Sensing, (Geo)Physics, Applied Mathematics, Marine Technology, Civil Engineering, Structural Engineering, Mechanical Engineering
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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI