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Field
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Specification Essential Criteria: Qualifications 1. A good first degree in Biomedical Engineering/Bioengineering, Mechanical Engineering, Computer Engineering or a closely related subject. 2. A PhD (or be
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and written communication skills; and ability to understand and communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge
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and quantitative gene expression analysis Excellent organizational, communication, and teamwork skills Certificates/Credentials/Licenses Computer Skills General office suite and willingness to learn lab
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
injections; histological and immunohistochemical analyses. Basic computer skills and use of Word, Excel, PowerPoint, Adobe Photoshop. Proficient use of the English language. Preferred Qualifications
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and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Candidates in ABD (all but degree) status will also be considered
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Languages Fluency in written and spoken English Computer skills Skilled with data analyses software (R/Python) Experience with using high performance computing clustersAdvanced MS Office experience
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to efficiently collect/organize/analyze data and initiate new/modified procedures/techniques based on the latest developments are expected. Certificates/Credentials/Licenses n/a Computer Skills General office
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- Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience A PhD degree in Computer
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Research Centre. Mōu | Who You Are To be successful in this position, ideally you will have: A PhD in Computer Science or a closely related field Expert knowledge of deep learning, large language models
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI