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survival data using longitudinal features, and (6) machine learning and deep learning for analyzing time-to-event outcomes, or (7) radiomics and medical imaging analysis. Required Qualifications: We seek
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given to candidates studying early China using analytical methods such as zooarchaeology, paleobotany, ceramic analysis, and lithic analysis. The successful candidate will be expected to: Teach one course
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not required as part of this position. Required Qualifications: Strong mathematical background, including expertise in one or more of the following areas: machine learning, statistics, and algorithms
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
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independent research, the postdoctoral fellow is expected to teach one (quarter-long) course, generally at the undergraduate level, per year, and contribute more broadly to the life and activities of the Center
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benefit from additional training in clinical research. You will: Obtain broad knowledge about the fields of pain and SUD neurobiology. Acquire depth and expertise in an area of specialization within pain
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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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projects in the immunology of infectious diseases and cancer. There are several funded positions that can start early 2025. Requirements are a Ph.D. in Immunology, publications and a willingness to learn
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. Requirements are a Ph.D. in immunology, publications and a willingness to learn and make use of some of the new methods we have developed, with a particular focus on human immunology and diseases. Required
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principals to problem solve work. ● Ability to maintain detailed records of experiments and outcomes. ● Ability to quickly learn and master computer programs, databases, and scientific applications