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Basilicata region. Where to apply Website http://www.unibas.it Requirements Additional Information Eligibility criteria Admission requirements: - PhD or equivalent degree obtained abroad; - Scientific and
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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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 1 day 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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programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication skills, and excellent English. Relevant
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at the intersection of energy and development. - Preferably (but not required), experience utilizing remotely sensed data and combining remotely sensed data with survey data Required Applicant Documents: Resume / CV
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use their skill for the benefit of society in the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral
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resources systems, hydrologic/hydraulic modeling, GIS/remote sensing, and data-driven methods. Mentor MS/PhD students and supervise research staff/postdocs; support student professional development and
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QUALIFICATIONS PhD in Ecology, Geography, Environmental Science, or a closely related discipline. Demonstrated specialization in remote sensing and spatio-temporal environmental data analysis. Strong programming
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a qualified candidate for a postdoctoral scholar to join Zoe Pierrat’s Photon Informed Ecology Lab (PIE Lab). The postdoctoral scholar will engage in research at the intersection of remote sensing
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the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral thesis on RTM inversion or deep learning in remote