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Field
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the Department of Medical Education and the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine offers a unique opportunity to advance the integration
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machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical
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-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU
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focused on understanding and countering harmful narratives and, mis/disinformation, and applying social network analysis. To be successful you will need: PhD in a relevant discipline such as computer science
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., Computer Science, Cognitive Science, Human Computer Interaction, Human Robot Interaction or Artificial Intelligence. experience in programming, preferably Python. fluent in spoken and written English. It is
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent
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programming (Python) and Linux skills is a must Knowledge in plant biology or single-cell genomics is a plus You have good communication skills, are a team player, and are proficient in English We offer a 3
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to develop robust experimental designs, to conduct data processing and statistical analysis with relevant programming language(s) (such as Python and R), and to handle high-dimensional research data to a high
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a