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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
: * Introductory proficiency in Python, R, or another programming language * Prior exposure to machine learning or AI techniques in clinical research * Experience using deep learning frameworks * Familiarity with
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Microsoft Word, Excel, Access and PowerPoint. Preferred Qualifications Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, Python, etc. Experience with ML/DL
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in Python, Machine learning, and Uncertainty Quantification in engineering applications, Preferred: Background in space weather and astrodynamics Excellent written and oral communication skills
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++/Python/CUDA programming for real-time image processing. Experience in MRI pulse sequence programming, ideally on Siemens MRI platforms. Experience in MRI image reconstruction; motion and distortion
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the field of quantitative biology or machine learning (broadly defined); strong written and oral communication skills; strong knowledge of Python programming; familiarity with DL frameworks (i.e. TensorFlow
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, or a related field completed before the start date of the position Demonstrated experience with astronomical data analysis and software development Proficiency in Python programming Experience with large
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
, or a related field completed before the start date of the position Demonstrated experience with astronomical data analysis and software development Proficiency in Python programming Experience with large
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or disease modeling in R and/or Python statistics data analysis communication (written and verbal) This does not mean you need expertise in these areas but rather that you have some base knowledge upon which
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wind tunnels such a temperature/pressure sensitive paints, infrared thermography, PLIF, FLDI etc. • Proficiency in Python • Experience running simulations with high performance computing (HPC) resources
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in population genetics, statistical genetics, or a closely related area. Proficiency in statistical and bioinformatics tools and programming languages (e.g., Hail, R, Python). Experience with