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Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences
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: Ph.D. in Astronomy, Astrophysics, Physics, or Computer Science Preferred Qualifications: Experience radiative transfer calculations, machine learning, and high performance computing is desired. Special
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-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired
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, Environmental Science, Computer Science, or a closely related field Strong programming skills in Python or R Experience with machine learning and deep learning applied to geospatial data Demonstrated ability
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. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your
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degree in industrial engineering, operations research, statistics, or machine learning and have a strong research record. • Qualified candidates should have prior research and publications in optimization
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to providing a place of work and learning free of discrimination on the basis of a person’s age (40 or older), disability, whether actual or perceived by others (including service-connected disabilities), gender
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condition of continued employment. Schedules are subject to change based on organizational needs. The University of Nevada, Reno is committed to providing a place of work and learning free of discrimination
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
project on multimodal machine learning for autoimmune diseases. The focus of these multimodal ML postdoc position will include but is not limited to, multimodal representation learning, dynamic information
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• Effective communication skills Preferred Qualifications • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale Modeling