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). - Scientific computing experience (e.g., Python, Julia, C, C++). Preferred Qualifications: - Experience with optimization modeling and mathematical programming languages (e.g., GAMS, Pyomo, JuMP). - Experience
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, a computational medicine scientist with expertise in mechanistic modeling and quantitative pharmacology, the lab is building innovative tools to accelerate clinical translation and support drug
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. Translates complex computational results into biologically meaningful insights in collaboration with wet-lab teams. Maintains thorough documentation of analyses, pipelines, and datasets in version-controlled
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have a passion for applying computational techniques to solve complex problems across disciplines. Compensation and Benefits: Competitive Salary: Funding is available for a competitive salary, based on
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methodologies, including human energetics, anthropometry, and biological markers o Quantitative analysis of complex data Evidence of collaborative publications (in press or near-submission is acceptable
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job
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their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social
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National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
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functions, variational techniques, and complex analysis. The postdoctoral scholar will join Prof. Adham Naji's research program at Santa Clara. Prof. Naji moved from Stanford University/SLAC National