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, established track record of publications in computational microscopy, computer vision, or parallel machine learning Adaptability: A demonstrated, strong willingness to learn and bridge the gap
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materials. Experience with statistical analysis software (R, SPSS, or equivalent). Strong track record of peer-reviewed publications in relevant fields. Excellent problem-solving skills, creativity, and
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well as mentorship and supervision of more junior trainees in the lab. The candidate should have exceptional writing and presentation skills and a track record of academic productivity. Dr. Guenther is dedicated
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years Required Related Experience Track record of scientific publications Required License/Registration/Certification N/A Physical Requirements Sitting at computer work station for long periods of time
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Science, Electrical Engineering, Artificial Intelligence, Biomedical Imaging, Computational Biology, or a closely related field. Research Record: A strong, established track record of publications in computational
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, obtained within the last two years. Preferred Qualifications: Proven track record of publications and in-depth knowledge in one or more of the following fields: Vascular Biology, Neuroscience, Ophthalmology
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linear algebra, graph databases, or bibliometric and patent data. A track record in open-source scientific software or research collaborations with external partners. Additional Information Enquiries
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large-scale biological datasets. You will be directly mentored by a postdoctoral fellow, Dr. Josh Tycko, providing exposure and advice for the research career track. You will benefit from the rich
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experience handling large datasets A track record of scientific creativity and productivity, evidenced by peer-reviewed publications, preprints, or open-source tools Excellent communication skills and genuine
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Posting Details Position Details Title Post Doctoral Appointee (Technology Governance) Appointment Status Non-Tenure Track Department IU Workshop in Political Theory and Policy Analysis Location