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Language Models (e.g., BERT, GPT). Familiarity with cloud services for API hosting and deployment. Prior work in research, media, journalism technology, or computational linguistics projects is a plus
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, imaging informatics, and large language models (LLM) is preferred. This position will require collaboration with multiple stakeholders, including informatics experts, clinicians, basic scientists, and
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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preferences for horticultural goods and services. Support the design of computer-based choice experiments simulating shopping tasks. Assist with coordinating data collection for eye tracking and behavioral
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evaluating deep learning architectures Experience with computer vision and AI-based object detection and segmentation models such as YOLO, SAM, etc. Special Instructions to Applicants: Application must be
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position at the Associate Professor or Professor level. We seek an innovative and collaborative investigator with a strong research program focused on Type 2 Diabetes (T2D). Areas of study may include, but
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disorders; proper modeling of neuroimaging data; and integration of genomic, transcriptomic, proteomic, and imaging data to understand neurological conditions and responses to therapy. A ready collaborative
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Resource Planning; Data Platform and Analytics; Information Security Office; Infrastructure and Communication Technology; and Research Computing. With established governance advisory committees and a set of
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Classification Title: Academic Program Spec II Classification Minimum Requirements: Bachelor's degree and three years of relevant experience; or an equivalent combination of education and experience
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. • Serves as a model student and sets example of social and college life balances • Facilitates bi-monthly group discussions with mentees. • Refer students to university and community resources as needed