402 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" Fellowship positions in United States
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, psychology, and related fields. Research areas include foundation models, multimodal learning, social robotics, AI for education and healthcare, behavior modeling, and trustworthy human–AI interaction
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 11 hours ago
case studies and best practices for non-malignant hematologic diseases that generalize to other areas to improve consistency. Learning Objectives: Under the guidance of a mentor, you will learn from
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on understanding how tumor cells evade immune surveillance. The lab is particularly interested in: The regulation of natural killer (NK) cell development, function, and anti-tumor activity. CAR-NK cell therapy
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conditions. For more information on Dr. Dhawan and her research please visit here . As a successful candidate, you will: · Have a willingness to learn and establish new methodologies and research
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
& Computer Engineering Work Location EPIC Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Part-time Hours per week 40 Work Schedule Pay Rate $48,000 - $53,000 Minimum
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 10 hours ago
(QSAR) models. The selected participant will learn to harvest and interpret toxicology data, develop and apply QSAR models, and communicate research results to both internal and external stakeholders
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 10 hours ago
compounding. Learning Objectives: Under the guidance of the mentor, you will gain skills and confidence in making scientific presentations; learn how to collect and compile clinical information; and learn
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(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health
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information needed to inform management of the disease. Specific areas of investigation will be based upon the participant’s expertise and interest. Learning Objectives: Under the guidance of a mentor, the