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systems and some computer programming languages. Strong organizational skills, attention to detail Ability to work with minimal supervision and as part of a team, self-motivated, adaptable, works with a
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systems, intelligent and autonomous systems; machine learning; environmental sensing; and wireless communications. The EE department has strong support from the College of Engineering and UTA administration
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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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. 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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. Develop and apply ab initio computations, molecular dynamics simulations, and machine learning models. Collaborate with other researchers within the group and external partners. Present research findings
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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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Computational Biology, Machine Learning and Deep Learning for Computational Biology, Computer Science, Applied Physics and Mathematics, or a related field. - Strong background in protein modeling, structural
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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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and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year with the possibility of reappointment based on satisfactory performance and