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approaches applied to different science domains, such as chemistry, materials, physics, imaging, drug discovery, climate/weather forecast, etc. Knowledge of implicit deep learning models (NERF, neural
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-based, and climate-related) and uses innovative qualitative and participatory methods to study how care, strategy, and collective action interact in times of societal crisis. You will join a vibrant
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associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization
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attributes are encouraged to apply: Background in large-scale numerical modeling (regional planning, ecological, hydrologic climatic, or wildfire modeling). Experience with scientific software development in C
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application of cumulative impact assessment model using food webs, which is intended to assess impact of multi-stressors on trophic and non-trophic interactions networks. The modelling will be primarily based
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Postdoctoral Associate in Optimization Modeling The School of Civil and Environmental Engineering at Cornell University seeks a postdoctoral associate. The positions can be remote (but the home
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. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with multilevel models is valued. Additional skills with
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building materials using polyphasic detection and identification approaches. Characterization of biobased building materials with respect to their moisture sorption isotherms. Modelling the correlation
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-derived EO assets for our climate, society and economy. The Φ-lab will bring together early career and senior researchers from a variety of disciplines across EO and disruptive/transformative innovation
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catchment hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical