26 machine-learning-and-computational-biology-research-group Postdoctoral positions at University of Florida
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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dynamic and team-oriented research program. Successful candidates will work in a cutting-edge research environment with new state-of-the-art facilities. The laboratory has outstanding facilities for cell
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of Medicine is seeking a talent postdoc to join our productive research group at the Center for Neurogenetics, University of Florida. The postdoc will study molecular mechanisms that repeat expansion variants
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&Technology in Jupiter, Florida. The work will focus on drug discovery for neurodegenerative diseases as related primarily to mitochondrial biology and the mitochondrial dysfunction that occurs in
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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
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep
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program. Learn more about what Gainesville has to offer at Visit Gainesville . Expected Salary: The salary is competitive and commensurate with qualifications and experience, and the compensation includes a
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, Environmental Science, Computer Science, or a closely related field Strong programming skills in Python or R Experience with machine learning and deep learning applied to geospatial data Demonstrated ability
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program. Learn more about what Gainesville has to offer at Visit Gainesville . Expected Salary: The salary is competitive and commensurate with qualifications and experience, and the compensation includes a
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. Experience with statistical characterization of data, preferably within a Bayesian framework. Preferred Qualifications: Experience developing a (semi-)independent scientific research program on topics in