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, specializing in Artificial Intelligence/Machine Learning (AI/ML) - 15 years of experience working with US Air Force (USAF) & Department of Defense (DoD) customers - Proven leadership experience managing teams
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of interest. Prior findings suggest that a skill-weighted ensemble mean from multiple reanalysis datasets outperforms a single best reanalysis dataset. Machine learning approaches will be explored, as well, and
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The innovative and growing radio frequency (RF) and Microwave group at Villanova University is looking for an initiative-taking, enthusiastic researcher in machine learning (ML) and artificial
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, age, sex, pregnancy (including childbirth and related conditions), disability, genetic information, status as a U.S. veteran, service in the U.S. military, sexual orientation, gender identity
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to generate insights into genetic control of heart development and disease. This will be an excellent opportunity for students in bio/biomedical related fields to learn technical skills and become familiar with
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the project. The student will be closely collaborating with a doctoral student at TAMU-CC. Knowledge, Skills, Abilities: Computer programming knowledge in Python/C++ Problem-solving skills Ability to learn new
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, national origin, ancestry, age, genetic information, sex/gender, marital status, military and veteran status, sexual orientation, medical condition, pregnancy, gender identity, gender expression, or mental
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the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive correlation between in-situ process data and end part quality
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strong pillars and cross-cutting themes in cardiovascular science. Conducts tests across a diverse array of assays using laboratory machinery and computer programs. Tests and sets up lab equipment
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and contribute to research proposals. Publish developed algorithms as software packages. What is Required: Ph.D. in the last 3 years in Machine Learning, Applied Mathematics, Statistics, Computational