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Classification Title: Postdoctoral Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied
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mining, and development of enabling technologies for natural product (NP) biosynthetic gene cluster (BGC) activation in native producers or heterologous hosts, (ii) NP discovery, production, isolation, and
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, transcriptomics, and CRISPR-Cas9. The candidate will be responsible for comprehensive data collection, analysis, and interpretation to support ongoing and future research efforts. Also in this role you will
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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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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Computer Science, Geographic Information Science, Data Engineering, or a related technical field. Job
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proposals to advance their scientific career. More information about the Department of Applied Physiology and Kinesiology can be found here: http://hhp.ufl.edu/about/departments/apk/ Expected Salary
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and analysis pipeline to compute the 3 and 4 point correlation functions of Roman data. Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon
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fibroids earlier among various stakeholders. The associate will contribute to all phases of this human-centric research project through data collection (focus groups, interviews, and surveys), data
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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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conducting in vitro and in vivo metabolic experiments in models of obesity and MASLD with minimum guidance from the PI. He/she will independently obtain, store and organize data and generate figures and write