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with a focus on large-scale assessments. The Researcher would apply quantitative research and data science methods to improve the development, operations, and analyses in large-scale assessments with
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the mechanisms contributing to the age-related increases in large central artery stiffness and pulsatile pressure hemodynamics in older adults with isolated systolic hypertension and leading a short-term
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in developing deep learning models 2. Proficiency in implementing large language models for time series data analysis 3. Advanced programming skills in Python Candidate Profile: We are seeking
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focused on investigating the mechanisms contributing to the age-related increases in large central artery stiffness and pulsatile pressure hemodynamics in older adults with isolated systolic hypertension
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the position, a CV, two recent publications, contact information of three references, a research statement describing their scholarly activities and research plans; a statement of teaching and mentoring, a
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cooperative education, a dynamic academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget tops $1.65 billion and its endowment totals $1.8 billion
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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. The successful candidate will: · Have expertise in geospatial Python programming, satellite image analysis, big data, high-performance and/or cloud computing. · Have strong skills in a range of
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information, particularly on platforms such as grants.gov, by updating and improving current systems and processes. 4. Collaborates with web developers to build a comprehensive platform that tracks and supports
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Position Details Position Information Recruitment/Posting Title Visiting Researcher Job Category Staff & Executive - Research Support (Laboratory/Non-Laboratory) Department NJMS-PHRI CENTER-Z30001