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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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and/or other related field, and (2) a minimum of 3 years of research experience specifically focused in an area related to natural language processing, machine learning, large language models, multi
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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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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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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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on sponsored projects from R01s to OT2s and ARPA-H grants. The candidate will work with national and international experts in molecular imaging, pathology, AI, machine learning, software development, and
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postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's
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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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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