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Mission We are offering a challenging position as a full-time (100%) PhD Student in the Laloui Group at EPFL inLausanne. The group brings expertise in geomaterials and their mechanical behaviour to
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areas. ● Strong computational/programming skills (Python/C/C++) including computational mechanics, and scientific machine learning. ● Excellent English communication skills (oral and written). We offer
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-loss, negligible two-photon absorption, high optical nonlinearity, possibilities to engineer both positive and negative group velocity dispersion through waveguide design and high-Finesse optical
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. Technical Skills Proficiency in remote sensing (satellite image processing, GIS, photogrammetry); Programming skills for geospatial analysis: Python (rasterio, geopandas, scikit-learn) or R
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in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS, GDAL) and
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Participate in education and supervise student projects This position at EPFL aims to provide a framework for the robust design of high-speed turbomachinery systems. This will require the development
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. • Contribute to teaching as part of the PERL group at EPFL Profile • A MSc degree in ecology, plant biology, environmental sciences, forestry, remote sensing, Earth observation
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design and pricing, operations research, dynamic systems, and strategy-relevant applications. Main duties and responsibilities Develop and complete an original doctoral dissertation Conduct
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molecular and optical technologies to study mechanisms of cell surface signaling, cancer neuroscience, and protein engineering, integrating molecular biology, cell biology, and systems neuroscience
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second harmonic water imaging to (1) image interfacial water in real time as well as the electrostatic field lines on lipid membrane interface model systems, and (2) image in real time membrane fusion