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scientific programming language (Python, Fortran, or C); familiarity with inversion methods or machine learning; experience with high-performance computing (HPC) environments. Desirable requirements Experience
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to investigate cancer biology, therapeutic response, immunotherapy, and drug delivery in small-animal models. Design and optimize MRI protocols for longitudinal preclinical studies. Perform quantitative image
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learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science
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August 1, 2028, with possibility of renewal based on continued availability of funding and performance. Minimum Required Qualifications Ph.D. or other terminal degree in relevant field Preferred
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-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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found on our website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/) Opportunity to perform state-of-the-art research in one of the most
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on process development • Knowledge of fabrication and operation of high pressure systems • Computational competences with MATLAB and COMSOL • Fluent in English, both written and spoken • Experience in working