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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
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healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision
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visit: hr.ufl.edu/benefits Required Qualifications: A PhD in any area of ecology, evolution, or related fields. Experience with genomics, transcriptomics, and bioinformatics or motivation to acquire
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manuscripts, and assisting with grant proposal development. Candidates must have PhD in chemistry. This position will be initially awarded for one year, and, contingent upon strong performance and conduct and
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. The training program is also committed to cultivating an atmosphere that is conducive to learning by providing clinical postdoctoral associates with an appropriate blend of support and challenge. Postdoctoral
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Qualifications: PhD in experimental particle physics at the time of appointment. Preferred: Deep understanding of the particle detectors, particle identification, data analysis Machine learning experience is a
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Classification Title: Post-Doctoral Associate Classification Minimum Requirements: Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: The candidate must have a Ph.D. (or MD/PhD) in biological sciences such as molecular biology, cell biology, cancer
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Associate positions in Clinical Health Psychology. Appropriate candidates will have obtained a doctoral degree (PhD or PsyD) from an American Psychological Association (APA) or Canadian Psychological
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to join the MDP faculty. The instructor will also advise MDP students and conduct her/his own research. This is a one-year position that will begin in Fall 2025. In Fall, the Instructor will teach the core