101 algorithms-"EPFL"-"INSAIT---The-Institute-for-Computer-Science" positions at Nature Careers
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The School of Basic Sciences (Physics, Chemistry and Mathematics) at EPFL and the Paul Scherrer Institute (PSI) jointly seek to appoint a Tenure Track Assistant or tenured Associate Professor in
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algorithms. The targeted starting date is 1 September 2025,or as soon as possible thereafter. Project description This project will explore the algorithms, advantages, and applications of quantum computing
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literature. Foundational Algorithms for AGI AGI will not emerge from scaling existing models alone; it requires a new algorithmic foundation for learning, reasoning, and adaptation. This research area is
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suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
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The School of Life Sciences at EPFL invites applications for a Tenure Track Assistant Professor position in Neuroscience. At EPFL researchers develop and apply innovative technologies to understand
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The School of Life Sciences at EPFL invites applications for a faculty position in life science engineering. Appointments will be at Tenure Track Assistant Professor or at Associate Professor level
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EPFL is a leading university with strong emphasis on basic sciences, engineering and life sciences. Research within its Institute of Chemical Sciences and Engineering (ISIC) includes synthetic
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The School of Basic Sciences (Physics, Chemistry and Mathematics) at EPFL seeks to appoint a Tenure Track Assistant Professor in condensed matter theory with a focus on interacting quantum matter
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The School of Engineering at EPFL invites applications for a faculty position in Bioengineering Measurement Technologies. Appointments will be at the Tenure Track Assistant Professor level. We seek
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and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training