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found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity/Affirmative Action Employer Brookhaven Science Associates is an equal opportunity
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seminar series, courses provided by MU, participation in conferences, staff mobility training, participation in research projects, support of project department); relocation support and help from
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leverages unique and transferable features of immersive technologies to transform the presentation of time series plots, image layers, and tabular data, thereby improving in situ data collection. Evaluate
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://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity/Affirmative Action Employer Brookhaven Science Associates is an equal opportunity employer that values inclusion and
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for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity/Affirmative Action Employer
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students. What we offer: Opportunities to work in an excellent research environment and collaborate with global leaders in post-quantum cryptography, and with top financial institutions and industry partners
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semester, assist in organizing research-based events (e.g., speaker series, symposia, or reading groups), present their work at research methods and field-specific seminars, and offer consultation to faculty
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global leaders in post-quantum cryptography, and with top financial institutions and industry partners. Internationally competitive salary and benefits such as housing allowance, travel allowance
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supported by faculty with diverse expertise, including mentorship teams for each trainee consisting of scientific and clinical investigators, a clinical shadowing program, and a lecture series encompassing a
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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction