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in consultation with the Principal Investigators. 10. Keep up to date with current knowledge and recent advances in the field/discipline. 11. Engage in continuing professional development activities as
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; (ii) Large Language Models (LLMs) and multimodal foundation models for cross-domain reasoning and knowledge integration; (iii) continuous learning and model adaptation in dynamic and evolving
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on biodiversity and its change, we are advancing the further development of our extensive scientific collections with an international team and state-of-the-art technology. With our exhibition, knowledge transfer
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reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link
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research, or closely related fields. Desired criteria include knowledge of the application of statistical methods for robust data analysis and the use of machine learning approaches for exploration and
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the possibility of reasonably priced housing owned by NYU). Applications will be reviewed on a rolling basis beginning April 1, 2026. This position is based in New York and the selected candidate will be expected
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scientific computing (e.g., large-scale numerical simulations of turbulent flows and the numerical solution of large-scale eigenvalue problems) Knowledge, Skills & Abilities: Candidates are expected to be
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performs research across programming languages, formal verification, and automated reasoning, and includes J. Garrett Morris , Cesare Tinelli , Katherine Kosaian , as well as several research scientists
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the phenomenology of cognition (e.g. formalizing concepts such as reasoning, agency, meaning, or experience into testable computational models, skill acquisition, and affordances). The successful candidate will bring
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area with a very reasonable cost of living, and is about 45 miles from Kansas City. Length of Appointment: Initial appointment is for two years, with the second year of the appointment contingent