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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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. Requirements for candidates (regarding completed higher education and academic degree/title): A doctoral degree (PhD) in Earth sciences or a related field (e.g., environmental engineering, hydrology) is required
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/associate-professor-in-hydrology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/296279/associate-professor-in-hy… Requirements Research FieldGeosciencesEducation LevelPhD or equivalent
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and diversity Qualifications Research Assistant Honours degree in Geography, Engineering or Earth Sciences In addition for Research Associate PhD in Hydrology or Water Resources Management (recently
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conferences and professional development opportunities 5% document and publish data and code Qualifications Required Qualifications: · PhD in hydrology, soil science, environmental engineering, or
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researchers and several Postdoctoral and PhD fellows. The hydrology group collaborates closely with other disciplines, both within the section (meteorology, cryosphere, hydrogeology) and outside (ecology, data
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providing guidance to PhD students who are actively involved in ecohydrological modeling research. Conduct laboratory analyses and field work. Collaborate with local researcher from the college of agriculture
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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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University Tandon School of Engineering The Hydrologic Systems Group within the Center for Connected Cities for Smart Mobility towards Accessible and Resilient Transportation (C2SMART) at NYU Tandon School
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. This PhD project wil combined longer-term monitoring data and new sampling campaigns for field measurements and sample collection to improve our quantitative understanding of carbon fluxes in the Congo Basin