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analysis, adding new features or fixing bugs in existing software, and exploiting these tools to tackle frontier problems in materials physics. Additionally, the postdoctoral associate will benefit from
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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. Anticipated Division of Time Research – 90% Mentoring – 10% Required Qualifications PhD in Animal Science, Environmental Science, Agronomy, Soil Science, Agricultural Engineering, or other relevant field
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may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud
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. Anticipated Division of Time Research – 90% Mentoring – 10% Required Qualifications PhD in Animal Science, Environmental Science, Agronomy, Soil Science, Agricultural Engineering, or other relevant field
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experience using statistical software (e.g., R and Python) and AI tools (e.g., Claude Code) are a key requirement for the position. Successful candidates should show potential to excel in tasks related to meta
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Education and/or Work Experience PhD required in related field. Qualifications Minimum Qualifications: Earned doctorate in Research Methodology, Social Work, School Psychology, Counseling Psychology
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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engineering, interdisciplinary energy studies, or a related field at the time of application. Additional qualifications (required at time of start) PhD in engineering, interdisciplinary energy studies, or a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
or related Engineering or Physics. Required Qualifications, Competencies, and Experience PhD degree in Biomedical/Electrical or related Engineering or Physics. Experience with MRI acquisition and data analysis