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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
projects are the analysis of gene expression patterns in malignant human tumor samples mostly coming from clinical trials and preclinical model systems, and on the continued development of genomic-based
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Center for Astrophysics | Harvard & Smithsonian | Cambridge, Massachusetts | United States | about 16 hours ago
world-class scientists, contribute to current and on-going research, and develop essential skills in data analysis, numerical modeling, and scientific communication. With personalized mentorship, access
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) Time series modeling, forecasting, and real-time monitoring in dynamic bioeconomic systems Data-driven modeling and intelligent control in bioeconomic systems Out-of-distribution (OOD) generalization in
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work on the molecular genetics of age-related hearing loss (https://www.grilletlab.com/). The Grillet lab has generated a mouse model carrying a polymorphism identified in Genome Wide Association Studies
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International University¿s immigration and visa requirements, if applicable, prior to applying: https://hr.fiu.edu/employees-affiliates/working-at-fiu/immigration-process Faculty Criminal Background Check Current
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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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Modeller to join their team. The Simulation Visual Modeller plays a key technical role within the Centre for Maritime Simulations (CMS), supporting teaching, research and commercial operations through
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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environmental change regarding productivity and environmental sustainability in agroecosystem across a variety of scales from the field, regional to the globe using the tools of advanced ecosystem models, machine
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will involve training deep learning models to compress raw data into structured feature spaces required for downstream surrogate modeling. Qualifications Education and Experience: Undergraduate student