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Experience with neural data analysis from EEG, ECoG, and deep brain electrodes Experience with signal processing algorithms Experience with artificial intelligence/machine learning Special Instructions
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statistical analysis using R and help organize datasets for interpretation. A key focus will be integrating microbiome and metabolome data through statistical and machine-learning approaches to uncover
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Communication Technology; and Research Computing. UF Information Technology (UFIT) enables teaching, learning, research, and service on campus and across the region with state-of-the-art enterprise IT systems
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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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have a Federal Work-Study Award. Preferred Qualifications: Excellent interpersonal and communications skills, both written and oral. Strong computer skills including proficiency with MS Word, Excel, and
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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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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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organizational skills Available to work 10 hours per week Creative and interested in learning new skills Ability to maintain professional relationships Ability to handle sensitive and confidential information
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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