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Field
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principles Selection Criteria Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data analysis and handling omics
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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Aug-25 Location: Minneapolis, Minnesota Categories: Academic/Faculty Agricultural Sciences Internal Number: 369689
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Associate will assist a Principal Investigator Leon Shterengas in the Department of Electrical and Computer Engineering . The incumbent will conduct research on semiconductor photonic device nanofabrication
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program. Minimum Acceptable Education & Experience: Ph.D. in Physics, Nuclear Physics, Particle Physics, or a closely related field at the time of appointment. Demonstrated experience in experimental
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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acquisition on fresh and fixed samples. Work closely with pathologists, surgeons, and computational scientists to validate imaging technologies for diagnostic and research use. Analyze imaging data and
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benefits program, which includes: Up to 100% tuition remission for employees and dependents upon eligibility Up to 50% tuition remission for spouses upon eligibility A generous Employer retirement
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with experience in the following biomedical engineering fields: Biomedical photonics/optoelectronics Biomedical nano- and microscale systems/fabrication Biomedical computation/modeling Biomolecular and