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Field
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networks, brain functions, or molecular shapes. For more information, contact [email protected] . Position Requirements PhD in Computational Neuroscience, Machine Learning, Computer Science, Physics
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have their entire salaries covered by external funds. Candidates must have a PhD degree or equivalent and a minimum of 4 years of postdoctoral training. Expertise in bioinformatics/ transcriptomics
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disorders. Many of the statistical techniques emphasized in the lab span disciplines such as network theory, dynamical systems, and machine learning, among others. Accordingly, the objectives of the lab
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wildlife agencies in North Dakota, Kansas, Wisconsin, and Ohio. This work will include: Development of multiscale habitat models to estimate abundance Use and development of machine learning algorithms
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record, and available funding. Education Requirement: A PhD degree (or about to complete) in machine learning, or a closely related field, is required. Required Qualifications: Practical experience in
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The High Energy Physics Division (HEPD) at Argonne National Laboratory invites applications for a postdoctoral research associate position to conduct research in machine learning (ML
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
on biophysics and applied mathematics. Approaches in fields of network theory, machine learning, neural networks & deep learning, multivariate statistics, scientific visualization and nonlinear dynamics
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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aims to develop and test novel CAR-redirected immunotherapy for pediatric solid tumors. In particular, a CRISPR/Cas9-based mutagenesis screen will be applied to discover and therapeutically target novel
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journals Experience conducting and coordinating field work Experience mentoring undergraduate and graduate students Experience with machine learning, phylogenetics, molecular sexing techniques, and