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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB). Additional Information
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SPECIFICS The Penn State College of Medicine, Cancer Institute in Hershey, PA is seeking a Postdoctoral Scholar to join an NIH-funded prestigious Program Project focused on acute myeloid leukemia (AML
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, scientific writing, presenting data to various groups, aligning expectations and maintaining effective communication (including creating a mentoring compact and Individual Development Plan). To be successful
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. This individual will also be expected to expand and develop these areas of interest in the process of defining a unique research niche that they will build on to develop their own research program once they move
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diversity. Our academic units are consistently ranked among the top twenty among public universities by U.S. News and World Report, and our MBA programs are ranked as among the world’s best by U.S. News and
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, representation learning) Spatiotemporal modeling or geospatial/temporal data analysis Medium-to-Large-scale foundation models pretraining/fine-tuning paradigms Strong programming skills in Python and experience
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research university in Atlanta, Georgia, with world-class programs in public health and infectious disease research. The fellow will be based in the Department of Biostatistics and Bioinformatics and
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are engaged in active research programs and are funded by a variety of organizations including the National Institutes of Health and the National Science Foundation. The team is looking for a self-motivated
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Staff Job Description Job Responsibilities 50%: Lab research - Design, plan, conduct and coordinate experiments in a wet lab as well as using computers. 20%: Communication - Keep detailed records of data