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Field
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own surveys and secondary data collected by third parties. The ideal candidate for the position will be a recent PhD graduate with a deep interest in this domain who can provide research support in
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. This is an entry level position for a candidate who has recently completed a PhD in transportation engineering or planning, air pollution modeling, health impact and risk assessment of air pollution and/or
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responsible for creating and refining computational models that simulate hydrogen, ammonia, and methanol combustion in internal combustion engines and gas burners. Data Analysis and Interpretation: You will
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mesoscale fractal geometry, creating physics-informed neural network models to analyze turbulent structures, and comparing simulation results to astronomical observations to develop methods for inferring
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications
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A PhD in immunology or related field with a deep understanding of mucosal immunology is required. Expertise working with primary human cells, intestinal tissues/organoids, murine models of intestinal
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Aug-25 Location: Seattle, Washington Type: Full Time Categories: Academic/Faculty Internal Number: 142057 Position
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-rescue missions. This position will involve close collaboration with the PhD student at SDU who is developing technical building blocks that can support the research. A key feature of this position is a
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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collaboration with survey providers in Denmark and Germany. Analyzing survey data using quantitative methods such as conjoint analysis, regression modeling, and causal inference techniques. Writing academic