39 proof-checking-postdoc-computer-science-logic Postdoctoral positions at University of Florida in United-States
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of Chemistry, is seeking outstanding, creative, independent, and highly motivated postdocs. The Liu lab focuses on the discovery of small molecules for human proteins, as well as the functional characterization
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IFAS. This individual will have expertise in computer science, industrial and systems engineering, or related fields to contribute to cutting-edge research at the intersection of food systems, packaging
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these diseases by targeting these proteins. The lab uses diverse techniques such as proteomics, transcriptomics, lipidomics and cell and molecular biology and pharmacology in cell lines, primary cells and mouse
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Associate to contribute to our focused research program investigating maternal-fetal health and developmental programming. Our lab specializes in understanding how maternal stressors during pregnancy
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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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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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skills, and ample funding opportunities for postdocs and graduate students. Expected Salary: Commensurate with education and experience. Employment Benefits include: Health Insurance: UF participates in
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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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Classification Title: Post-Doctoral Associate in Polymer Biomaterials Classification Minimum Requirements: Ph.D. in Polymer Science, Chemistry, Bioengineering or other related disciplines Strong
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL