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or observational cosmology -ML architecture design and deployment experience -High-performance computing and large-scale data analysis -Background in neural density estimation or advanced ML techniques Position
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, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025
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counts) and several areas are ranked in the top 70, including high-performance computing (#12), operating systems (#11), databases (#29), computer architecture (#46), embedded & real-time systems (#54), AI
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, programming languages, or architecture. This is an open research area position, and the department welcomes applicants from all areas of computer science & engineering who demonstrate strong potential
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genetic architecture of complex traits and diseases. Key responsibilities for the postdoctoral associate position include data analysis, manuscript writing, research presentation at conferences, and
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of this position is to conduct research regarding the molecular architecture of the HIV virus in the group of Prof. Juan R. Perilla (http://biophysics.chem.udel.edu ) and the computational core of the Pittsburgh
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largest green building (at 19 stories) and winner of the 2023 World Architecture Competition’s Education Category for its interior design. Successful candidates should have: - A PhD in computational
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Description: Design and Implement Hybrid Data Architecture: Evaluate, configure, and manage cloud-native data warehouses for scalable spatial analytics Design data flows from warehouse to spatial databases
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 40 minutes ago
with Computer Vision and Deep Learning architectures (CNNs, RNNs, etc). Strong foundation in machine learning and data science. Programming skills with proficiency in Python, Java, and/or R. Preferred
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develop the first fault-tolerant quantum computers that can handle applications at realistic scales. To date, several architectures for quantum hardware have been developed that all have their strengths and