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. Position or Company Website: https://odin.mdacc.tmc.edu/~wwang7 Application Instructions: To apply, please email (1) a cover letter describing current and future research, (2) a curriculum vitae, and (3) a
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applicants will lead the labs efforts in action-less design, continual learning, planning with world models, and contrastive RL. Our laboratory has expertise in deep learning, including deep reinforcement
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
emphasis on undergraduate education. The Department has tenured and tenure-track faculty, academic fixed-term faculty and research faculty. The current student body comprises approximately 120 graduate
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
accreditation standards and insurance-based reimbursement models. High level of knowledge of social work, counseling, or similar behavioral health area. Essential Skills: Current, unrestricted clinical licensure
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the neurodegeneration field by developing innovative tools and technologies that we will share with the research community. To achieve those goals, we are currently using mammalian cell lines (including stable cell lines
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halls with students and be responsible for directing and operating nightly activities. Serve as exceptional mentors and role-models to students. Perform conflict resolution and counseling on an as needed
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sustainability. For more details, please view https://www.ntu.edu.sg/ase . The Wetland Carbon Lab at NTU’s Asian School of the Environment (ASE) focuses on understanding the role of aquatic ecosystems, including
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theory, gravity, holography, and string theory, broadly defined. Current projects focus on quantum information and quantum gravity, holography and de Sitter space, SYK models, and defects and interfaces in
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techniques will include preclinical tumor models, in vitro culture assays, flow cytometry, and molecular biology methods. Responsibilities include assisting with technical aspects of studies and experiments
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maintenance strategies represents a major industrial challenge at the intersection of system dynamics, control theory, and advanced signal processing. Current approaches exhibit complementary limitations: data