284 structural-engineering-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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programming skills in R (Git, Stata and/or Python are of advantage) Proficiency in data cleaning and management and experience working with complex datasets Reliable, structured and precise working style Strong
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the geological structures and potential reservoir Integrating extensive passive seismic recordings and borehole seismic data (including vertical seismic profiling, VSP) into the imaging and characterisation
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structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and
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driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this understanding into more reliable and resilient materials and structures. By combining numerical
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to perform structured, well-documented experimental work. Strong motivation to work with animals. Curiosity for science. Good communication and teamwork skills. Proficient in English language. Desired (but not
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software for scientific data analysis. B: A computer scientist or software engineer specialised in algorithmic optimisation and data structures, with demonstrated accomplishments in the context
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technology platform empowering personalized health research. As Product Manager for the Biomedical Informatics Platform (BMIP), you’ll drive the integration of advanced data analytics, AI technologies, and
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Machining Processes and EDM at inspire offers in collaboration with the Chair of Artificial
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engineering applications. Empa's Centre for X-ray Analytics develops X-ray analytical and imaging methods for understanding materials structure in material, life- and medical sciences. This is a joint PhD
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100%, Zurich, fixed-term We offer a PhD position on "In-situ characterization and Digital Modeling of Li-Ion Batteries" in the Materials and Device Engineering (MaDE) group led by Prof. Vanessa Wood