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RTI International has an opening for a senior transportation economist within its Center for Applied Economics and Strategy (CAES). CAES is looking for a candidate with a clear interest in applied energy and environmental economics and a strong technical skill set and topic area expertise in transportation systems and emerging technologies.
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Minimum WorkKeys scores of: Applied Mathematics 4 Locating Information 4 Reading for Information 4 Applied Technology (no minimum, but scores are reviewed by hiring managers) Candidates who have applied for these positions within the current calendar year, should not reapply.
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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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Two full academic years of progressively higher level graduate education or masters or equivalent graduate degree from an accredited college or university with a major field of study in finance, business administration, economics, accounting, engineering, mathematics, banking and credit, law, statistics, or other fields related to the position, such as agriculture, agricultural economics, farm, livestock or ranch management, or rural sociology.
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Cover letter that includes a brief description of current research and outlines the areas of energy and environmental economics and applied public policy that are of primary interest. Topical expertise in energy and environmental economics, including familiarity with the field literature.
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From an accredited college or university with a major in finance, business administration, economics, accounting, engineering, mathematics, banking and credit, law, statistics, or another field related to the position such as agriculture, agricultural economics, farm, livestock, farm management, ranch management, rural sociology, dairy science, domestic agricultural development or agronomy; OR.
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One year of graduate education from an accredited college or university with a major in finance, business administration, economics, accounting, engineering, mathematics, banking and credit, law, statistics, or other fields related to the position such as agriculture, agricultural economics, farm, livestock or ranch management, or rural sociology - OR.
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Under the Fair Chance Act, agencies are not allowed to request information about an applicant's criminal history until a conditional offer of employment has been made, except as allowed for access to classified information; assignment to national security duties or positions; acceptance or retention in the armed forces; or recruitment of a Federal law enforcement officer.
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Two full academic years of progressively higher level graduate education or master's, or equivalent graduate degree (LLB, JD, LLM, Ph. D., etc.) Provides support and assistance to the Farm Loan Chief, and Farm Loan Specialists, and County Offices that perform a range of lending activities, closing, disbursement, monitoring, liquidating, and servicing of agricultural loans.
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Experienced researcher with a graduate degree in economics, urban planning, policy, or related field, with strong quantitative research and analysis skills. Design and conduct applied research projects in support of Woodstock Institute’s mission.
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Solid foundation in finite element analysis, solid mechanics, and applied mathematics. Required Qualifications: PhD in Mechanical Engineering, Electrical Engineering, Ocean Engineering, Applied Mathematics, or Applied Physics (minimum.
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An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics) Serve as business owner of marketing data, and coordinate data preparation in support of analytics, and assist with the delivery of comprehensive analytics projects on optimization.
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Master's or Ph. D. degree in Quantitative Finance, Financial Engineering, Applied Mathematics, Statistics, or a related field. A minimum of five years of experience in quantitative finance or a related role, with a focus on developing and implementing quantitative trading models and strategies.
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Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social.
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Undergraduate degree in Finance, Accounting, Economics, Mathematics, Computer Science, Information Management, Statistics or related field. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.
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