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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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analysis, machine learning, mathematics of data scienceMathematical modeling and manifold learning of high-dimensional data geometry, with theoretical foundations and applications in evolutionary biology and
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required. It is highly meritorious to have publications in top venues in machine learning, and security and privacy (NeurIPS, ICML, S&P, PETs, ESORICS or similar conferences). A successful candidate is
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background in Human Computer Interaction, applied AI, and HCI systems development. Preferred qualifications ● Prior publications in top-tier peer-reviewed areas directly and indirectly related to HCI, social
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the broader learning environment to augment professional development Qualifications Required: - PhD in psychology, cognitive science, or a related field - Ability to collaborate effectively with people from a
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 21 days ago
include advancing foliar trait retrieval algorithms, atmospheric correction over dense humid tropical canopies, machine learning and dimensionality reduction for handling big data, landscape evolution
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research, preferably with 3D modelling skills. ¿ Foundational expertise in machine learning and big data analytics Job Summary Postdoctoral Researchers support teams of KSU faculty and students
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are looking for candidates with a strong background in machine learning, excellent implementation skills, and an interest in combining ambitious empirical work with conceptual and theoretical insights. The goal
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(postdoc) Reference no.: 6036 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about
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/recruitment/2-year-postdoctoral-p… ** Project ** Computational and high field MRI characterization of learning and decision-making ** Supervisor and contact ** Dr Florent MEYNIEL https://www.unicog.org/lab