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Field
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knowledge of specialized field, process or discipline. May require experience with specialized software programs. Application Process Applications must be submitted online at https://jobs.uc.edu. To apply
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data. You’ll be responsible for coding, data entry, and verification, as well as reviewing templates and codebooks to ensure consistency and accuracy. Your attention to detail will be important as you
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project on the ROMAN galaxy redshift survey project infrastructure team led by Dr. Slepian in the Department of Astronomy. A position is available in our group to work on developing software infrastructure
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: Appropriate PhD in related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data
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Job Description Real-time systems need to guarantee the timely execution of tasks. Furthermore, the whole system (processor, compiler, application software) needs to be analysable for the worst-case
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development, simulation process development, demonstration procedures and execution Perform the experimental designs and simulation results verification and validation Assist the research group to write regular
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basic MS Office, MS Access, graphics, and database software. Basic project management and statistical analysis knowledge. Preferred Qualifications Experience in Cardiology or Congenital Heart Disease
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standards in human subjects research. Data Management: Assist with data entry, cleaning, and quality control using Excel, REDCap, or statistical software (e.g., Stata, R, SAS). Organize and maintain accurate
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
/Administrative Internal Number: 25074 POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center (PSFC), to lead the development of a rigorous verification and validation (V&V) framework for FESTIM, an open-source
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health data, c. QA/QC of collected and analyzed data and data validation and verification against independent sources, d. data summary and analyses, e. modeling of individual or multiple elements