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in computational methods, particularly those with backgrounds in machine learning, artificial intelligence (AI), statistics, bioinformatics, or analysis-acceleration technologies. Candidates should
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 10 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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The Small Fruit Breeding Program at Auburn University is seeking a breeding data manager and curator specialist (Post Doc Fellow) to support the research activities of a USDA Specialty Crops Research
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-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
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, spanning computational data analysis, community-based participatory research, community needs assessments, partnership-building, and related grant development opportunities. The successful candidate will be
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does not allow for remote work. Required Application Materials A single PDF or Word document containing a resume, letter of interest, and a list of the names and contact information for three (3
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grading practices ● Human composition in the age of artificial intelligence Northeastern University’s dynamic Writing Program houses a mix of full-time teaching professors, graduate students, part-time
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their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI