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Field
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ED data acquisition, analysis and use of in situ liquid and electrochemical TEM experiments, under the supervision of Professor Joke Hadermann. EMAT is one of the leading electron microscopy centers
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, computer science, environmental engineering or in a relevant science subject area with an affinity for renewable energy integration, spatial analysis/GIS and programming; has proven experience in programming
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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lead experimental efforts using advanced nanoscale optical and scanning probe techniques—including spatially and temporally resolved photoluminescence, electroluminescence, and a strong focus on
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Postdoctoral Scholar to conduct research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: either spatial analysis using GIS
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-analysis software; managing procurement and technical liaison with campus workshops; planning and analysing imaging experiments with collaborators; supervising and mentoring junior researchers; and
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computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific
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devices into complex digital systems. Advanced expertise in machine learning and artificial intelligence for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial
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assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk
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hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with