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Basic Qualifications: Have, or expect to have within 12 months a PhD in Plasma Physics, Electrical Engineering, Nuclear Engineering, Applied Mathematics, or a related field completed within the last 5 years.
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Master’s degree in Computational Biology, Bioinformatics, Applied Mathematics, Computer Science, Electrical Engineering, or other quantitative field preferred. The ideal candidate would have a Masters or above in a quantitative field (computer science, applied mathematics, bioinformatics) as well as knowledge of modern molecular biology and genomics.
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Education Preferred: Master's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or 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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Education: A higher education degree (MSc or PhD level) in fields such as economics, engineering, mathematics, computer science, statistics, applied physics, meteorology, or equivalent. Statistical Background: Proficiency in statistics and machine learning techniques, particularly when applied to meteorological data.
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Preferred Qualifications: Master’s in mathematics, applied mathematics, statistics, computer science, engineering, or a related field with a strong mathematical component Active TS/SCI Proven track record of successful project involvement with government agencies, demonstrating the application of mathematical and computational techniques to address complex challenges in defense or national security domains.
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The candidate should have strong spoken and written communication skills, excellent inter-personal skills, and the ability to interface with students and faculty in psychology, cognitive science, computer science, applied mathematics and architecture/design.
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Masters degree in Biostatistics, Epidemiology, Applied Mathematics, Data Science, Computer Science preferred. Bachelor’s degree in Statistics, Biostatistics, Epidemiology, Applied Mathematics, Data Science, Computer Science or relevant related field or an equivalent combination of education and experience required.
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The Department of Mathematical Sciences offers undergraduate degrees in Actuarial Science, Data Science, Mathematical Sciences, and Mathematics & Computer Science, and offers graduate degrees in Pure Mathematics, Mathematics Education, Mathematics for Teaching, Applied Mathematics, and Applied Statistics.
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Ph. D. in Computational Physics, Applied Physics, Applied Mathematics, Computer Science, Biological Science (e.g. Cell Biology, Biophysics, Bioengineering), or related science or engineering field; OR equivalent combination of degree and experience.
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Foundation in applied mathematics and lumped modelling approach of transient problems. Knowledge of SolidWorks (parametric modelling, assembly, and drafting), metal machining and materials, injection molding and polymer flow/behavior, design for machining and over-molding, finite element analysis (ANSYS Mechanical, CFD, Multiphysics preferred.
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have a strong machine learning background and a desire to push the envelope in one or more of the above areas.
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In addition, the College offers graduate programs leading to master’s degrees in Accounting, Applied Mathematics, Business Administration, Contemporary Instructional Design, Computer Science, Creative Music Technology, Data Science, Educational Leadership, Nursing, Social Work, and Special Education, as well as a Doctor of Nursing Practice.
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BSc/MSc graduate in the field of engineering, computer science, applied mathematics, physics, statistics, or relevant field of study. You will be responsible for developing, validating, and implementing cutting-edge machine learning algorithms, including use of Large Language Models (LLM) applied to diverse healthcare data sources, e.g. electronic medical records and to generate medical reports.
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Currently has, or is in the process of obtaining a PhD degree in computer vision, machine learning, computer graphics, artificial intelligence, applied mathematics, or related areas. Experience on graphics programming and 3D rendering with OpenGL/Vulkan is a plus.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
applied mathematics jobs Title: director Company: Regeneron
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