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This position will focus on applied forest policy research, grant writing related to climate adaptation and land management, and lead or assist with teaching natural resource policy at the undergraduate level.
$68,000 - $80,000ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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Proven experience in Rates and / or FX data analytics and quantitative trading automation and optimization. Job Summary: As an executive director on the Quantitative Research Rates and CEO AAO team you will work closely with the Rates, Currencies and Emerging Markets trading desks to automate and optimize business problems using data driven solutions, bridging the gap between Financial Engineering and Data Science.
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. Quantitative Systems Pharmacology (QSP) & Physiologically Based Pharmacokinetics (PBPK) have become important components of discovery and clinical development.
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Master’s degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred. Ability to program in statistical/mathematical programs such as SAS, R, Python, or other data analytics (e.g. SQL) or quantitative libraries.
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Under supervision, performs quantitative and/ or qualitative data analysis using statistical analysis software such as R, SPSS, SAS, Stata, and/or MAXQDA, NVivo. Experience with data analysis software, whether quantitative (i.e., R, SPSS, SAS, Stata) or qualitative (i.e., MAXQDA, NVivo.
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Hold a Bachelor's degree in a quantitative field such as Statistics, Computer Science, Applied Mathematics, or Engineering. Optional Master's degree in computer science, engineering, or a quantitative field.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Educational background in a Quantitative Field such as: in Computer Science, Engineering, Applied Mathematics, Statistics. I am working with a Top Tier Hedge Fund based in New York City who are looking to hire a Quantitative Developer to join their Global Macro Team.
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Bachelor's degree in a quantitative discipline (i.e. statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science) preferred. Familiarity with using Databricks or a similar platform for data engineering & data science.
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The projects will use in situ ecological data to conduct quantitative analyses such as occupancy modeling, spatial analyses, population estimation, fire and drought data integration for decision support, and analysis of the impacts of climatic conditions on success of management, ecological restoration and conservation planning.
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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) 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 strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Bachelor's degree (or above) in a quantitative or computational field such as Statistics, Computer Science or Applied Mathematics. Quantitative Development team is part of Asset Management’s Quantitative Research & Investment Technology group that partners with the investment teams in Strategic Advisers on various projects including portfolio construction, risk management, and alpha research.
$85,000 - $179,000 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Skilled in applied research methodology, data architecture, and governance, with a strong quantitative/analytical background and experience in program evaluation and measurement. Reporting to the Senior Vice President of Partnerships & Impact, the CRM & Data Insights Director will be at the forefront of driving innovation and impact in solving the world's most critical challenges through data collection and analytics.
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Prior curriculum in statistics, economics, quantitative finance, Applied or Computational Mathematics, data analytics or management, machine learning, Prior curriculum in statistics, economics, quantitative finance, Applied or Computational Mathematics, data analytics or management, machine learning.
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The Aerospace Engineering Department in the College of Engineering and Applied Science seeks a Project Coordinator whose principal workload will be to serve as central Project Coordinator for the Intelligent Robotics and Autonomous Systems (IRAS) Lab and the related research project.
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