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will help lead efforts to design and manage online surveys, data collection, analysis, and coordinate with partner organizations. The incumbent will be working with Montreal Mobility survey data
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Required: Ph.D. in high energy nuclear or particle physics or a related field Required Qualifications: Demonstrated experience in data analysis. Skill related to the analysis of large-scale datasets (e.g
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Research Associate will conduct applied and fundamental research in energy systems engineering, with an emphasis on industrial energy systems, energy management, techno-economic analysis, modeling
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learning methods, with strong analytical and programming skills (e.g. R or Python) Experience of undertaking accurate, reproducible data preparation and analysis A track record of peer-reviewed research
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knowledge recombination, conceptual distance, topic novelty, and uncertainty. The project will mostly rely on econometric analysis of large-scale microdata sets for researchers in Denmark, in particular, high
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. Integrate clinical, electrophysiological, and sleep-related datasets to generate meaningful research insights. Data Analysis & Interpretation Analyze complex neurophysiological data derived from SEEG
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methodologies to support interdisciplinary cancer research programs, including magnetic resonance imaging (MRI), optical imaging, micro-computed tomography (micro-CT), photoacoustic imaging, and image analysis
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histological and multiomic analysis of MS brain tissue to elucidate cellular and molecular mechanisms underlying demyelination and neurodegeneration. The laboratory is embedded within a highly collaborative
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devices (OLEDs) Your tasks Fabrication, optimization, and characterization of NIR-emitting OLED devices Close collaboration and active scientific exchange with project partners Analysis, interpretation, and
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; - strong data analysis and interpretation skills; - the ability to work effectively in a multidisciplinary team environment; - good scientific communication skills; - strong scientific writing skills in