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signal processing (GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
analysis Proficiency in Python programming and statistical analysis Experience with astronomical survey data processing and analysis techniques Preferred Qualifications, Competencies, and Experience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
analysis Proficiency in Python programming and statistical analysis Experience with astronomical survey data processing and analysis techniques Preferred Qualifications, Competencies, and Experience
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. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills
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. Fluent in statistical code in either R, Python, or Matlab. English language (B2 or higher). At least one first-author publication (pre-prints are eligible). Ability to work collaboratively as part of a
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for handling and analysing large and complex geophysical datasets, including programming skills in languages such as Python or Matlab. 10. Skills in description, analysis and dating of sediment cores. 11. Skills
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programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred
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closure modeling and/or high performance computing environments (MPI, CUDA) • Expertise in software development and computing tools (C/C++, python, git, parallel computing, etc.) • Experience with deep
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. Preferred Qualifications Experience with: C/C++, Python, MATLAB, ROS 1 and 2, OpenCV, Unity, GPU programming, linear and nonlinear control theory, supervised, unsupervised and reinforcement learning, Torch
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record