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. Write manuscripts, develop research goals, and mentor student. Qualifications: Appropriate PhD. Ability to stand for extended periods to perform laboratory duties. Ability to lift and move heavy objects
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g
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letter and resume are strongly recommended. Qualifications Required Education and Experience Doctoral (PhD) degree in Civil or Environmental Engineering with a focus on Water Resources, Hydrology
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university priority and investment is being made in hiring an excellent team to drive its success. You should hold a PhD and must be able to demonstrate an excellent track record in one or more areas of AI
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. Qualifications: Minimum of one year post-PhD experience in a research/academic position or industry position working on development of AI-based solutions for heavy industrial machines. Extensive code-base
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within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or a
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software Writing reports and research articles where you will be co-author. Your qualities You hold a PhD (or are close to submission, or have recently submitted) in statistics, data science, or a related
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, such as study scheduling, protocol review, and partner communication. Maintain lab equipment and software, such as equipment calibration and software update. Conduct regular lab safety check, such as lab
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, government, industry) at national and regional levels. The growth of the Centre is a university priority and investment is being made in hiring an excellent team to drive its success. You should hold a PhD and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
across nearly 30,000 square degrees of sky. This role will work as part of a collaborative and multidisciplinary team to develop software for data analysis, monitoring, and science verification