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they respond to different environmental factors. Integrate cutting-edge genomics and computational analyses to investigate transcriptome, epigenome and chromatin architecture. Learn more: Our benefits , where we
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2019-24 publication 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
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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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-based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must
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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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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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fully funded postdoctoral associate position in bioinformatics and computational biology. This position will be jointly mentored by two investigators including, Dr. Li Chen (onsite) in the Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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