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Bachelor's degree in physics, applied mathematics, scientific computation, computer science, materials science and engineering, or a related field with 5 years of relevant experience (3 years with an M.S. or 0 years with a Ph. D.
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Master’s degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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Master's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline preferred. Bachelor's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required.
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Graduate degree in Management Information Systems, Business Administration and Management, Business Analytics and Information Systems, Statistics, Mathematics, Computer Science, Physics, Economics or a similar degree.
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A Ph. D. in Planetary Sciences, Earth Sciences, Geophysics, Physics, Astrophysics, Computer Science, Applied Mathematics or related field is required. The XCP-8 (Applied Computational Physics, Verification and Analysis) group at Los Alamos National Laboratory (LANL) seeks a post-doctoral candidate in the area of numerical modeling.
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Statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Ph. D. (completed within the last 0-5 years) in applied mathematics, physics, computer science, mechanical engineering, aerospace engineering, or similar fields. Argonne’s Leadership Computing Facility (ALCF) and Mathematics and Computer Science Division (MCS) is looking for a Postdoctoral appointee working at the intersection of scientific machine learning SciML and large-scale simulation codes.
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Bachelor’s degree in in Remote Sensing, Imaging Science, Astronomy, Physics, Mathematics, Atmospheric Science, Computer Science, Optical or Electrical Engineering, or another related STEM discipline.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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Desired: Master’s degree or higher in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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PhD in Biomedical Engineering, Bioengineering, Electrical or Computer Engineering, Computer Science, or related Engineering and science discipline, such as applied math, applied physics, and data science.
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Work Week: Standard (M-F equal number of hours per day) Posting Position Title: Research Specialist University Job Title: Data Scientist Preferred Education, Experience and Skills: Ph. D. in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields.
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. + Stay informed with emerging literature and science in the modeling and simulation sciences.
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Doctorate in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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