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scaling model sizes, training budgets, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on
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model we deploy and support the ecosystem with training, advisory, and AI infrastructure. CeADAR is seeking a data scientist with solid experience in machine and deep learning research and development
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at finale.seas.harvard.edu and our group’s webpage https://dtak.github.io/ We work on probabilistic models, reinforcement learning, and interpretability + human factors. Basic Qualifications Candidates are required to have
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to eligible team members. Learn more at https://hr.duke.edu/benefits/ Minimum Qualifications Education See job description for education requirements. Experience See job description for requirements. Degrees
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adaptation of pre-trained microscopy vision models and cross-modality representation learning/ alignment. You will build robust pipelines that adapt foundation models to specialized microscopy tasks and
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Presidential events Commencement email oversight and FAQ maintenance Minimum Qualifications & Education: One year of experience in the events industry. Computer skills: use of word processing, spreadsheets, and
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in data analysis, mathematical modeling/computer simulation, and best practices in rigorous and reproducible science. The appointee will play a central role in developing, evaluating, and refining
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design, computational fluid dynamic modelling, and assessment of thermo-fluid systems for aviation, focusing on icing in aircraft fuel systems. About You You will be educated to doctoral level in a
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Chippewa Valley Technical College (CVTC) is establishing a pool of qualified candidates to be considered when adjunct and/or substitute instructors are needed to teach Anatomy & Physiology courses
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the use of machine learning and AI approaches • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets Requirements • The successful applicant will