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Field
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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for sustainable management of selected marine ecosystems. Your Profile A PhD in (bio)acoustics, spatial ecology, marine environmental science, or a related subject Experienced in acoustic propagation modelling
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Te Tari Pūhanga Metarahi me te Taiao | Civil and Environmental Engineering Department Located in Ōtautahi | Christchurch, Aotearoa | New Zealand Full-time 37.5 hours per week (1.0 FTE) Fixed-term
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Apply now Job no:535384 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Research/Scientific/Grants, Environmental Studies Department: CAS Environmental Studies Rank: Research
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Minimum Education and Experience: Applicants must have a Ph.D. in Civil and Environmental Engineering, Industrial Engineering, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely
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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary
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The position is intended for a PhD holder in environmental engineering, geochemistry, chemical engineering, or a related field, with a strong interest in gas-liquid-solid reaction systems. The ideal candidate
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to the development of ongoing research. This will include the integration, modelling, and advanced statistical analyses of large genetic, ecological, and environmental data sets. The successful candidate is also
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Crop Sciences, Earth and Environmental Sciences, or related fields, with a focus on terrestrial and freshwater ecosystem modeling and water quality assessment at the watershed scale. Preferred
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We are seeking a highly motivated person to conduct research in economic modelling of forest resources to support analysis of environmental and climate change issues. About the position The project