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Field
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to the critical role that these systems play in ensuring reliable, safe, efficient and comfortable vertical transportation of people and goods, their inspection strategies, safety assessments, and certification
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
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collaborations Confident handling of Linux-based data analysis Good knowledge of statistical data analysis Excellent knowledge of English Ability to work in project teams Creative problem solving skills Good self
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applications in forecasting, system optimization, flexibility management, and resilience analysis. The work will be carried out in close collaboration with our interdisciplinary teams at both Empa and EPFL, as
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determining the drivers of these changes from the oceanographic data and model experiments as well as satellite and reanalysis products. Training: You will develop skills in chemical analysis, data processing
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Physics, Computer Science or closely related fields like mathematics. Excellent communication skills (including proficiency in English) as well as enthusiasm for interdisciplinary work are essential for all
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of metabolic network modelling linked to epigenetics Carry out machine learning, and integrative analysis of large epigenome datasets Communicate research results in international conferences and journals Work
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reasoning domains. This work will blend cutting-edge experimentation - spanning RL, few-shot learning, meta-learning, etc. - with formal analysis to push the boundaries of what modern AI systems can reliably
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, partly due to a lack of reliable predictors of transplantation outcomes. The ADORABLE consortium aims to develop an advanced, data-driven assessment system for donor kidneys. Central to this is the use