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sensing systems Design and validate machine learning models for predictive monitoring of physiological states Analyse large experimental datasets and quantify sensor performance (accuracy, robustness
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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experience in machine learning and data-driven modeling. Ability to work independently as well as collaboratively in an interdisciplinary team. Excellent command of English, both written and spoken. Previous
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library. Strong interest in machine learning, reinforcement learning, and fluid dynamics. Ability to work independently and collaboratively in an interdisciplinary team. Excellent command of English, both
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opportunities and value diversity and respect in our working and learning environment. We are seeking a highly motivated doctoral researcher to investigate how metabolic programs enable cancer cells
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topics. You collaborate on research and pedagogical projects and assist in academic administration to some degree. You will teach two hours per week (during the semester).
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our working and learning environment. We are seeking a highly motivated doctoral researcher to investigate how metabolic programs enable cancer cells to metastasize and colonize distant tissues using
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into learning architectures. Collaborating with experimental research groups, enabling real-world validation and application of newly developed algorithms.
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value diversity and respect in our working and learning environment. We are seeking a highly motivated doctoral researcher to investigate how metabolic programs enable cancer cells to metastasize and
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data, and interpret results Prepare and present research findings at scientific conferences and in peer-reviewed journals Collaborate with other team members and contribute to the overall research goals