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The Director will have extensive experience in Health Science and Medical Education including abroad knowledge of academic affairs management, teaching and learning assessment, data analysis and program evaluation, and faculty professional development.
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The candidate will work closely with UCSB PIs Dr. Dar Roberts and Dr. Max Moritz, working with spaceborne, airborne and drone-based imagery, plant water balance metrics, and other relevant geospatial data layers, primarily focusing on Santa Barbara County.
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The Clinical Research Informatics (CRI) is a core group at SC CTSI that provides expertise and support for clinical research data integration, data sharing and data security to help drive the integration of clinical care and clinical research.
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The successful candidate(s) will be supervised by Dr. Copur-Gencturk and will have the opportunity to work with prominent scholars in the fields of education, computer science, and measurement to create AI- or technology-driven learning environments for teachers and to work with complex data sets to investigate the conditions under which teacher learning occurs.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Job Title Assistant Professor/Lecturer Campus Jersey City Campus Department Data Science Full Time, Part Time, Adjunct Full Time Classification Title Job Duties Develop and implement innovative instructional methods.
$65,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Department of Mathematical Sciences is an internationally recognized center of excellence for research and education in contemporary mathematical sciences with an undergraduate program in mathematics, a Ph. D. program in mathematics, and master’s degree programs in mathematics, applied mathematics, data science, and in actuarial mathematics and quantitative risk.
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The Research Associate III will develop innovative polymer processing strategies, novel characterization approaches, and data analysis methods to enable valorization of complex polymer waste streams for a range of projects that serve CPI under the guidance of the Leadership Team, the Center for Research in Soft Matter & Polymers (CRiSP), and related polymer sustainability activities.
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G Python, Ansible) Familiarity with devops philosophies, practices, and toolsExperience with network diagnostic, monitoring, and analysis tools (e.g. LogicMonitor) Sharp troubleshooting skills Organizational and mentoring skills What Desired Skills You'll Bring:Palo Alto Prisma SD-WANBSc/BA in Computer Science, Engineering, or a related fieldNautobot familiarity and use with automationMinimum Clearance Required to Start:Not Applicable/NoneThis position is part of our Corporate team.
$81,500 - $142,600 a yearFull-timeRemoteExpandUpdated 13 days ago - UpvoteDownvoteShare Job
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Our team is dedicated to identifying and interpreting genetic signal at the scale of thousands of phenotypes and millions of individuals, making the knowledge gleaned from genetics accessible to AbbVie's R&D community, and using data science and machine learning to maximize the value genetics brings to AbbVie.
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The Data Specialist will provide support to the GPTEC Applied Science and Informatics department. The Data Specialist is responsible for the organization and processing of raw data files, contributing to statistical analysis, data mapping and summarizing and preparing reports.
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5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 5+ years of experience prepping structured and unstructured data for data science models.
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Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
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Own and guide the team on enabling business with multiple enterprise Data, Analytics, and AI (DAAI) capabilities such as 1) Enterprise Data Engineering 2) Enterprise Data Domain and Business Information Architecture 3) Data Science, AI/ML Ops and GenAI foundation 4) Data Integration/API Strategy and Management.
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Capability leadership: Own and guide the team on enabling business with multiple enterprise Data, Analytics, and AI (DAAI) capabilities such as 1) Enterprise Data Engineering 2) Enterprise Data Domain and Business Information Architecture 3) Data Science, AI/ML Ops and GenAI foundation 4) Data Integration/API Strategy and Management.
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