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Field
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-disciplinary AI research and learning. Incorporates advanced methodologies such as deep neural networks and language/multimodal models, leading the preparation of scientific papers and technical reports
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to learn and master CAPS computer software such as PNC and other software as needed (Preferred) Strong interpersonal skills - Required Demonstrated ability to work as part of a mental health team in
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program is designed to empower recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and
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/or machine learning related to geotechnical engineering Proficiency in Python in Itasca Software as evidenced by one completed course or certificate Compensation and Benefits UC offers an exceptional
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Falls Posting Context Statement Position Overview Lead research projects focusing on developing and optimizing network protocols for power systems. Explore innovative applications of AI in modeling and
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of instrumentation software. Ordering supplies, billing internal and external laboratory users for analyses, managing cost center budgets. Strong interpersonal and communication skills, including the ability
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, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational
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experience as an occupational therapist. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able
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experience with specialized software programs such as Matlab, image J, Imaris, etc. Additional Information The work environment is the laboratory. Physical demands include repetitive fingers/hand motion from
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of Refuge Network (ICORN). Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race