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, computer vision, or forecasting. Proficiency with statistical computer languages such as Python or R. Proficiency with relational database systems (SQL) and object-based data stores. Ability to define and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
industrial decarbonisation and/or East Asia will be highly regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter
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experience deploying ML systems into production environments, with a focus on performance, robustness, and scalability. Domain expertise in NLP, computer vision, or speech processing. Proficient in Python
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programming skills in R and Python. Experience with content coding of verbal descriptions Good communication and teamwork skills. Interest in autobiographical memory and moral psychology. Some experience with
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fellow will carry out the development of theoretical and methodological formalisms in relativistic quantum chemistry, as well as their implementation (Python). The position is within the BRUNCH project
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(e.g., knowledge of principles and procedures related to field and area) Demonstrated proficiency in coding, robotics, and engineering design (e.g., Python, MATLAB, Arduino, C++ or similar). Other
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instructional content is preferred. Knowledge of Python and/or statistical software (e.g., R, Stata, SPSS) preferred. Coursework in research methods, statistics, or related fields preferred. To Apply: Apply
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. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C
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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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field. The ability to do serious data munging and data wrangling is important. Demonstrated experience with SQL plus knowledge of Python. Using these tools to merge large datasets, locate and clean messy