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Field
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the Saharan Desert. Nice to have: Experience with Landscape Evolution Modelling. Experience with Low-Temperature Thermochronology and/or geochronology. Experience with Source-to-Sink analysis. TU Delft (Delft
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of Electrical Engineering, Division of Electric Power Engineering. The position will include characterising commercial cells and the production maturity through performance testing, teardown analysis and material
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: Plasma reactor design and operation Experimental diagnostics and system integration Chemical, materials, or spectroscopic analysis techniques Record of scholarly productivity, evidenced by peer-reviewed
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areas ranging from transport and production systems to communication solutions and biomedical engineering. The Automatic Control division conducts research and education in the analysis and control
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experience in: Design of integrated photonic devices Linear and nonlinear photonic device testing Finite element analysis (FEA) Micro- and nano-fabrication Knowledge in quantum optics/physics is a strong plus
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transducers Benchtop characterization of optical and ultrasonic systems Data analysis A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered
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Responsibilities Research & Analysis Conduct interdisciplinary research on energy justice, governance, and community resilience in cyber-physical energy systems. Design and implement social science measures
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experience of building energy simulation and/or urban building energy modelling (UBEM). Strong programming and data-analysis skills (e.g. MATLAB, Python or equivalent). Very good command of spoken and written
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secondary data analysis. Opportunities exist to develop and lead new projects in this topic area and to contribute to grant development. The postdoctoral fellow will contribute to study design, mixed methods
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
to have experience in several of the following areas: data processing, statistical analyses, R software, regression models, process-based models such as DSSAT or APSIM, Bayesian statistical analysis