180 computational-physics "https:" "Multiple" Postdoctoral positions in United States
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students on externally funded research projects. Unit URL https://www.uidaho.edu/engineering/academics/computer-science Position Qualifications Required Experience Demonstrated research experience in
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The University of Chicago Academic Jobs Research Assistant Professor - Computational Particle Physics Enrico Fermi Institute, Physical Sciences Division Position Type: Other Academic Appointee
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on multiple biomedical service projects. The postdoctoral associate will participate in the design and execution of research plans under the direction of the center leadership. We are currently looking
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 16-Apr-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Physical Sciences Internal Number: 16181
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computational algorithm(s), perform data analysis, collaborate with biologists and physicians. He or she will lead multiple projects, work in a multidisciplinary environment and present/publish the results in
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% of eligible tuition Student loan forgiveness opportunity Opportunities for growth and promotion Employee Assistance Program For more information regarding benefits: https://humanresources.umn.edu/sites
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Employer https://main.hercjobs.org/jobs/22167044/post-doctoral-associate-in-the-division-of-engineering-x28-electrical-and-computer-engineering-x29-dr-qurrat-ul-ain-nadeem Return to Search Results
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for injection of chemical and viral vectors, and for implantation of multiple stimulation and recording electrodes. Designs, executes, and analyzes research studies using intracranial EEG data from animals
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surveillance and preparedness planning using multiple modeling approaches. The successful candidate will develop and implement statistical and machine-learning models, integrate multi-source ecological datasets
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Materials Required: Further Info: https://argonne.wd1.myworkdayjobs.com/Argonne_Careers/job/Lemont-IL-USA/Postdoctoral-Research-Associate---Machine-Learning-in-High-Energy-Physics-Detector-Operations_421270