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, collecting and analysing biomedical data, training machine learning models for bowel sound classification, and supporting prototype refinement and software integration for eventual commercialisation. Key
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resources. Integration of regularly updated databases, public and private variant prioritization tools using machine-learning methods, bioinformatics predictors of intronic/UTR variant damage, gene panels
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development and factors influencing overall health and well-being (https://www.youthshape.us/ ). Your efforts will contribute to the development of products designed specifically for children, such as clothing
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, timely, and thorough. Works well both independently, with little supervision, and in a team setting. Knowledge of genetics and genetic concepts or desire to learn. Strong computer skills and experience
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status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon
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: signal processing, advanced data analysis, statistics, and machine learning – Experience in safe laboratory procedures. Effective verbal and written communication skills. Laboratory experience
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or if you have questions about a job posting, please contact Human Resources at 479.575.5351. Department: Department of Physics Research Assistants 04 Department's Website: https://physics.uark.edu/ Summary
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access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees