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PhD program, 17 master's degrees, and 10 bachelor's degrees as well as a growing number of multidisciplinary CS plus X degrees. The School of Computing is committed to providing a flexible and
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, OpenCV), GPU computing (e.g., CUDA), SLAM and point cloud processing (e.g., PCL). Familiarity with ROS-based development and Linux software tools is considered a fundamental asset. (30
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. Ability to prioritize workload. PREFERRED QUALIFICATIONS : PhD or Master's degree in a relevant field such as data science, bioinformatics, computational biology, or statistics Strong programming skills
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clinicians and leaders for rural and immigrant populations. Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located
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collaborate with us on ambitious formalisation projects. An ideal candidate: holds a PhD degree in computer science, or a PhD degree in mathematics, or equivalent; has a research track record at a high
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development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key
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. Duties Within the Data Science Section, you will be responsible for: supporting the definition and implementation of the architecture for a hybrid-cloud science platform (expanding ESA Datalabs - https
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Cancer). Your profile PhD in Bioinformatics, Computational Biology, Data Science, or related field. Experience in multi-omics data analysis and/or drug screen data processing. Experience with HPC/cloud
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 13 minutes ago
, learning-enabled computer architectures, cloud and edge computing, hardware security, embedded systems, and systems software. Candidates with collaborative research focus are encouraged. Candidates should be
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
, theorem provers, type systems, categories, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops