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/or peer-reviewed journals Required Knowledge, Skills, and Abilities: PhD in Computational Physics, Chemistry, Materials Science, Computer Science/Engineering, Applied Mathematics, or a related field
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International Advisory Service In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits We offer you an exciting and varied role in
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. International experiences obtained during undergraduate or master’s studies will not be considered. Required Documents (submitted exclusively via online form): https://forms.gle/sLQoPsXYV5dRM8VG9 a. Curriculum
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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(35) Months, Fixed Term, whole-time post Applications are invited for the post of Post-Doctoral Researcher to join the government funded ObSERVE programme in the School of Biological, Earth
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intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. We offer a multidisciplinary, international, and friendly atmosphere
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department
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Posted on Tue, 12/16/2025 - 13:32 Important Info Faculty Sponsor First name: Barbara Faculty Sponsor Last Name: Simpson Stanford Departments and Centers: Civil and Environmental Engineering Postdoc
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 14 hours ago
Information For more information on the DOE Scholars Program, visit https://orise.orau.gov/doescholars or contact us at doescholars@orise.orau.gov . The DOE Scholars Program offers multiple opportunities
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) strong statistical skills and programming skills (experience with R is particularly desirable); (d) a background or prior experience in AI, computer science, or AI?s role in systematic reviews; (e) strong