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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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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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presentations, and lab collaborations; mentorship of lab graduate and undergraduate students Qualifications Requirements: A PhD in Computer Science, Information Science, or a related field Must have a strong
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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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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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. Postdoctoral applicants must hold, or be close to completing, a PhD in one of these areas. Candidates should have an exceptional academic record, a strong background in machine learning, and a robust
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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
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
data analysis and statistical methods # Interest in or initial experience with data-driven methods or machine learning is an advantage # Strong communication skills and a collaborative approach to