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. Qualification requirements The selected candidate should have a master’s degree in a related field: e.g., civil engineering , mechanical engineering , computational materials science , or applied mathematics
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-certification, and redeployment, as well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics
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contributes meaningfully to the broader scientific field. Your competencies The successful candidates should have excellent grades, strong mathematical and simulation skills and problem-solving mind-sets. It is
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participants, and mathematical / statistical modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native
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Systems Engineering, Computer Science, Software Engineering, Mathematics, or a related field Experience with interdisciplinary, multidisciplinary, or transdisciplinary research projects and related research
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and establishing priorities. Knowledge – Skills – Abilities Required knowledge: biology, chemistry, mathematics, statistics, documentation, records management, data analysis and utilization, complex
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, Bachelors, Master’s or Doctorate degree in science, social science, economics, mathematics, engineering, public policy, business, law or other field relevant to the DOE mission. Applicants pursuing a degree
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] Appl Deadline: (search halted posted 2025/01/26, listed until 2026/01/25) Position Description: Position Description The Mathematics Research Lab (MRL) is part of the Center of Excellence for Research
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energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
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record of peer-reviewed publications. A background is required in computer programming (including Julia and/or C/C++), applied mathematics and statistics. Please upload your application materials via