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study development, data collection and analysis, and dissemination of research findings. They will develop and teach an undergraduate seminar one semester each year in their area of expertise. They will
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CRM mobilization under undisturbed conditions. The work include multi-elementand isotope analysis and data interpretation. Mineralogical characterization (µXRF, XRD, SEM-EDS, electron microprobe, LA
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for Mechanics of Materials and Nanostructures of Empa in Thun offers an ideal working environment, with state-of-the art equipment (cleanrooms, high level materials analysis facilities, ALD/MLD/PVD infrastructure
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activities like design, archive, recovery, load strategies, and access analysis. Work with subject matter experts to validate data structures. Research and share emerging data integration methodologies
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development, yield and reproducibility improvement, and detailed analysis of optical and electrical device performance. Once optimized, the laser sources will be integrated with a high-speed photodiode
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applications for the position of Research Assistant in Invasive Pest Genomics. The intern will contribute to the efforts of an NSF-funded project (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2418203
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Demonstrated experience in statistical analysis of biomedical or clinical datasets Strong programming skills in R and/or Python Experience in data cleaning, management, and integration from multiple sources
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AMMETIS[1] (AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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and seismic attribute analysis in sedimentary environments with a strong geological background and confident use of seismic software. Experience in the interpretation of seismic data in tight and
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investigate the impacts of SAI deployment through the analysis of modelling experiments, either based on GeoMIP simulations or by conducting various experiments on ad hoc scenarios developed by researchers in