391 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis
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research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling initiatives; Working with partner organizations or companies. Basic
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced. In this role, you'll bring together machine learning, real-time
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hydrodynamic modeling (e.g., SFINCS, DFLOW-FM, MIKE, ADCIRC), coastal hazard assessment, model coupling, or model calibration and validation. Experience in machine learning and statistical/probabilistic analysis
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machine learning, real-time monitoring, and thermochemical insight to build smarter, self-improving materials processing systems. Your work will help strengthen a sustainable domestic lithium supply while
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 3 days ago
artificial intelligence applications in drug development. You will gain experience researching advanced in silico prediction algorithms, analyzing machine learning approaches for toxicity pattern recognition
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development of artificial intelligence (AI), machine learning (ML) and large language models (LLMs) to help promote business intelligence in the Agency (e.g., interactive AI expert systems). Integration of AI
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pathogens such as Japanese encephalitis and Rift Valley fever. Learning Objectives: The fellow will learn epidemiological techniques related to modeling parasitic and vector-borne diseases. Opportunities