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Field
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is using single-molecule and structural approaches to better understand the oxidative DNA demethylation pathway. Applied methods range from the use of biochemical, biophysical, single-molecule
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, what architectures do they need, how can computing be done on them - Developing software for efficient comparisons and resource estimation - Exploratory research in novel computing methods, code
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to UC clients on standard to moderately complex matters. Utilizes best practice research methods and effectively communicates advice- both in writing and verbally. 20% Issue Management Learns to assess
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, NORTE2030, under notice MPr-2023-7, under the following conditions: Scientific Area: Electronics and Computer Engineering or related areas. Recipient category: The open position is for candidates holding a
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the following conditions: Scientific Area: Computer Science. Admission Requirements: Academic qualification: Master's degree in Computer Engineering, Computer Science, Electrical and Computer Engineering, or
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science methods for improving public engagement, the National Environmental Policy Act (NEPA) and associated environmental analyses, offshore energy policy, approaches to bringing innovation into government
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randomized clinical trials, and mixed-methods implementation science. Fellowship will provide the successful candidate with opportunity to engage in mentored research, gaining experience in primary data
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biology, or other AI-related disciplines. The successful candidate will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data
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valuable experience relevant for your further career, including in project management, survey research, and experimental methods. The purpose of a postdoctoral position is to build up a strong researcher
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analytical methods in the R programming language. Stipend $85,000.00 – $95,000.00 Yearly Point of Contact Rachel Eligibility Requirements Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data