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Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
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You have 5+ years of applied experience in economics, quantitative finance, or data science (with a concentration in economics) PhD in economics, math, quantitative finance, computer science, data science or a related field.
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A Research Scientist at Numerica should possess an M.S. or Ph. D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.
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Bachelor's degree with 14 years of experience, a Master's degree with 12 years of experience or a PhD with 9 years of experience in Electrical Engineering, Computer Engineering, Computer Science, Applied Physics, Applied Mathematics, or related technical fields.
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Experience in Computational Neuroscience is preferred, but other strong applicants are considered (with background in Computational Physics, Applied Mathematics, Biophysics, and related disciplines.
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Master's degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred. Master's degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred.
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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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A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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The Department of Agricultural Economics and Agribusiness consists of 20 faculty members in three locations: the UA main campus in Fayetteville (16), the UA Cooperative Extension Service State Office in Little Rock (3), and the Rice Research and Extension Center in Stuttgart (1.
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Our mission is achieved through excellence in three key social science disciplines: Agricultural Economics, Rural Sociology, and Education, Development, and Community Engagement. Our discovery-oriented, collaborative, and interdisciplinary research and scholarship promote human and economic development, global understanding, and advancement in professional practice through the expansion of knowledge and its applications in the natural and applied sciences, social and behavioral sciences, engineering, technology, arts and humanities, and myriad professions.
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Bachelor's degree in a quantitative or relevant field such as Statistics, Operational Research, Computer Science, Economics, Mathematics, or Data Science. Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect, or ETL Developer.
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At V2X, we are making a difference by delivering decision support tools critical for the protection of our forces when threatened by both physical and Chemical, Biological, Radiological, or Nuclear (CBRN) threats.
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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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Computational Applied Mathematics at CSUFThe department has an active group of faculty whose teaching focuses on modeling and computation at both the undergraduate and graduate levels, and whose research is transdisciplinary with areas of expertise that include aerospace engineering, agent-based modeling, cellular biology, epidemiology, small-scale systems, wave-type phenomena, and stochastic processes.
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The ideal candidate will have a background in applied statistics, economics or a related quantitative field, will have strong business acumen, experience working with large data sets, and experience interacting with business partners.
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applied mathematics economics jobs Company: Softsages Technology
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