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biological samples. Administering clinical trial medication. Handling of medication kits. Recording the medication distribution. Patient education. Where to apply Website https://jobs.vhir.org/jobs/7353130
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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consider one or multiple subtopics that our group is particular interested in and invests on: (1) ice microphysics remote sensing from infrared to microwave spectra (TIR, FIR, sub-mm, MW); (2) cloud
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Do you want to shape the future of digital nature monitoring? Do you have experience with LiDAR, AI, and ecology—and want to contribute to remote sensing research for biodiversity and ecosystems
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-technologies ) group, coordinated by Arianna Traviglia. This group focuses on Cultural Heritage Technologies: Remote Sensing Technologies. Your activity will comprise State-of-the-art models report preparation
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 days ago
/m/x) in Non-Invasive Optoacoustic Sensing 102892 Full time 39 hrs./week Neuherberg near Munich At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing
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for flood resilience—such as cloud-based flood forecasting, inundation mapping, and operational early warning systems—and will expand these capabilities through interdisciplinary research in remote sensing
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or orbital remote sensing. Individuals who apply remote sensing techniques to the study of ongoing tectonic processes such as earthquakes, volcanoes, and associated hazards on societally relevant timescales
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learning tools to do snow parameters retrievals. Current projects in our lab range from theoretical and experimental atmospheric science into radiative transfer, climate dynamics, remote sensing of the land
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networks Advanced understanding of remote sensing principles Experience working with large remote sensing datasets Strong programing skills with a preference for Python and Julia languages Strong record