35 parallel-computing-numerical-methods Postdoctoral positions at University of Florida
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students who receive exceptional exposure to a variety of expertise. Our faculty and students have received numerous national awards in research and mentoring and are committed to excellence in training
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(EHRs), medical images, and clinical notes in combination with AI/ML methods for health for biomedical and health outcome research. Development and application of advanced informatics or AI/ML methods
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, vegetation, and water table position on energy transmission. Co-develop and apply process-based numerical models of dune morphological change informed by collected datasets. Coordinate field campaigns
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fully funded postdoctoral associate position in bioinformatics and computational biology. This position will be jointly mentored by two investigators including, Dr. Li Chen (onsite) in the Department
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different fertilizer application methods on high N demanding crops in Suwannee Valley region in FL. Field mapping of selected on-farm sites using Veris MSP3 to investigate soil Electrical Conductivity (EC
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systems Proficiency in data analysis software and statistical methods Excellent written and verbal communication skills Ability to work independently while contributing to team goals Commitment to various
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Classification Title: Post Doc Associate Classification Minimum Requirements: Ph.D. degree in biomedical informatics/bioinformatics, computer science, data science, electronic/biomedical engineering
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Classification Title: Postdoctoral Research Associate – Virtual Reality and Educational Innovation Classification Minimum Requirements: Doctoral degree in Computer Science, Human–Computer
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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Association (CPA) - approved graduate program in Clinical or Counseling Psychology, as well as completed an APA- or CPA-approved internship in a specialty area related to health and illness. Training