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rats). Develop acquisition and control code in MATLAB using a Verasonics Vantage NXT platform. Create AI/ML analysis pipelines in python for large longitudinal 3D datasets. Perform longitudinal
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theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging, and deployment
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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: Extensive experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and
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for handling and analysing large and complex geophysical datasets, including programming skills in languages such as Python or Matlab. 10. Skills in description, analysis and dating of sediment cores. 11. Skills
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Programming, C++ Programming Language, Data Integration, Genome Assembly, Genomic Data Analysis, Genomics, Independent Research, Machine Learning, Molecular Biology Techniques, Python (Programming Language
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acquisition and control code in MATLAB using a Verasonics Vantage NXT platform. Create AI/ML analysis pipelines in python for large longitudinal 3D datasets. Perform longitudinal ultrasound imaging during
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at conferences and meetings, and may develop new theories and methodologies. Extensive experience using R, Python or similar tools are a key requirement for the position, and successful candidates should show
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skills (e.g., R, MATLAB, Python) Neuroimaging (EEG or fNIRS) experience Important Message: 1) All employees serve as a representative of the University and are expected to display respect, civility
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
analysis Proficiency in Python programming and statistical analysis Experience with astronomical survey data processing and analysis techniques Preferred Qualifications, Competencies, and Experience