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SPECIFICS The Grigson lab at Penn State University College of Medicine in Hershey, PA is looking for a highly motivated postdoc who is willing to embrace new approaches to important questions in neuroscience
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Expertise in machine learning, including building and deploying prediction models Strong data science coding skills in programs and languages such as Python, R, Stata, and SQL Experience with research in
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protocols, develop machine-learning methods for decision-making, and validate results on lab testbeds. Collaborating with experts in cybersecurity and computer science, the researcher will publish high
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, PhD are co-Directors of the CNS Lab, and Casey Burrows, PhD is the Lab Director of Clinical Training. We are seeking postdocs to join our expanding research team of cognitive neuroscientists
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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designing machine learning pipelines, building web applications or tools, and creating and maintaining visualization dashboards. Trainees should be comfortable with: · SQL, R, and Python
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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The position will involve developing new mathematical/computational methods at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models
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causal inference, machine learning, and artificial intelligence is desirable ● Experience with clinical, EHR, or biobank data analyses is desirable Application Instructions To apply: Interested
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI