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and adapting research methodologies, with particular interest in applying and validating AI tools for analysing behavioural, fMRI, and EEG data. Experienced in preparing academic publications and
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; Knowledge about the ECHO program is preferred: Ability to translate adapt and apply academic or practical knowledge in the conduct of biological/health science research preferred. Requires successful
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for applicable certification requirements Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands
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. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Applicants cannot have
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from motivated candidates with a strong simulation and/or theoretical background; the project scope can be adapted to the successful applicant's expertise and interests. - Design, preparation, and
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detection Domain adaptation Few‑shot learning Graph‑based models Vision transformers and/or diffusion models 2D+time (video) segmentation Qualifications To be eligible for a postdoctoral fellowship, the
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-Language Models (VLMs). The postdoctoral researcher will explore how advanced generative and multimodal models can be designed, adapted, and applied to challenging vision tasks such as image understanding
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new continuous synthesis approach integrating real-time monitoring and adaptation, assisted by artificial intelligence (AI). The research fellow will also strongly interact with the team of chemical
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assigned. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and
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into interactive or XR systems (e.g., perception, tracking, adaptive systems, user modeling) (Preferred) Experience collaborating with healthcare professionals or working on healthcare-related technologies EDUCATION