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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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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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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
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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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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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, including direct knowledge of its Julia-based modeling environment, software architecture, domain-specific modules, and underlying computational infrastructure. ● Prior hands-on experience contributing
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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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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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field. * Minimum three years of research experience in computational modeling of brain circuits. * Demonstrated expertise in the Neuroblox computational neuroscience platform, including direct knowledge
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version-controlled workflows An interest in marine ecology and knowledge of marine or coastal ecosystems The position is intended for a junior researcher, and we primarily seek individuals who have obtained