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. Knowledge of HIPAA and IRB regulations for data management and data sharing. Expertise and skill in computer use; ability to learn new software. Ability to plan, organize, and coordinate work assignments
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academic progress. The advisor may also receive cross-training to acquire career and success coaching competencies. In addition to the specific duties listed above, this position will contribute
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, machine learning, and data science methodologies. · Enhancing the acquisition of competitive federal and foundation grants that focus on and/or incorporate biomedical informatics. · Providing mentorship and
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) • Proficiency with machine learning frameworks (R, Python, Weka, RapidMiner, etc) • Proficiency in Microsoft Office Word, Outlook, PowerPoint, and data analysis software (Excel, SPSS
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on Geospatial Analytics in Geomatics, including – but not limited to – advanced Artificial Intelligence/Machine Learning (AI/ML) techniques and scaleable application architectures and algorithms for geospatial
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committed to the core values of integrity, excellence, responsiveness, lifelong learning, and access. If an accommodation due to a disability is needed to apply for this position, please call 352-392-2477
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep
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. Basic proficiency in computer/technical skills, a willingness to learn new software, and the ability to follow instructions are also essential. There is no sales, marketing, lobbying, or fundraising
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succeed in this role, you'll need exceptional communication and interpersonal skills, a clear speaking voice, and the ability to adapt to various situations. Basic proficiency in computer/technical skills
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. Experience in the following areas would be preferred. soil health indexing mineral associated organic matter (MAOM) data-driven machine learning models and simulation modeling Special Instructions