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Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning. Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics.
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You will work to cultivate data science skills within the NIH by teaching courses to scientists on best data practices (e.g. Software and Data Carpentries, BrainHack Global as well as interfacing with specific neuroimaging repositories (e.g. The Adolescent Brain and Cognitive Development Project (ABCD), OpenNeuro, UK Biobank, The NIMH Data Archive.
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The Policy Advisor (Caregiving and Long Term Services and Supports) conducts policy research analysis to support the development of the organization's public policy priorities and position.
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Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.
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Experience in conducting research using relevant methodologies including: conducting interviews, capturing, and coding qualitative data; analyzing open-source intelligence and maintaining in a structured and organized way qualitative and quantitative data; and drawing inferences, themes, and sound conclusions.
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Doctoral degree plus minimum of five (5) years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, health policy, biostatistics, health economics, bioinformatics, data science, or health education) OR a Master's degree in relevant field (e.g., MPH, MPA, MPP; or MBA) plus minimum of seven (7) years of experience.
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The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.
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Proficiency in computational tools, software, and data analysis techniques commonly used in astrophysical research (e.g., Python, MATLAB, IDL, Zemax, Github) Proven expertise in one or multiple subfields of astrophysical research, such as observational cosmology, stellar astrophysics, exoplanets, time domain astronomy, planetary science, or high-energy astrophysics.
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Bachelor's degree (master's degree desired) in related field required (preferably in Geography, Social or Behavioral Science, Computer Science, Information Systems, Math or Statistics, Earth or Geo Science, Life, Physical or Environmental Science, Engineering, Business, Data Science, Data Visualization.
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10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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Tasks may include basic assistance with the research, concept development, design, and optimal integration of intelligent technologies using a structured cable plant, serving building capabilities including data networks, access control, video surveillance, audiovisual systems, and smart building systems.
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The division manages the IMF's Big Data Center, supporting Fund departments and IMF member countries with resources to engage in innovative projects utilizing data to help address and inform macroeconomic and financial policy development and research.
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The Data and Strategy Associate (DSA) performs critical tasks related to the development, implementation, and support of institutional strategy and decision-making at Washington State University (WSU.
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Qualifications: Bachelor’s degree in computer science, science technology, international relations, political science, economics, law or a related interdisciplinary field with minimum of eight (8) years of experience supporting development activities (USAID-funded activities preferred.
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data science research development mining jobs Title: science director in Bethesda, MD
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