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; - Programming knowledge in Python; Minimum requirements: Previous academic background in applied mathematics or computer science or informatics or electrical engineering or similar 5. EVALUATION OF APPLICATIONS
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products Familiarity with relational databases, data management, and data quality principles Experience with analytical or automation tools such as R, R Markdown, Python, SQL, or similar technologies
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. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
will be carried out in INEGI or FEUP facilities in Porto. 4. Academic Qualifications: Master’s degree in mechanical engineering. Proficient knowledge of programming languages such as Python or others
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approaches Desirable: D1 Software skills including one or more of the following: python, C/C++, Matlab Experience Essential: E1 Experience of planning and progressing work activities within professional
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, computational/analytic skills, and/or proficiency in python, R, and/or MatLab. However, all candidates with a track record of scientific accomplishment and a strong interest in cognitive neuroscience
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in epidemiology, research, and statistics Well-versed in R/R Studio, SAS, Microsoft Suite Knowledge of SQL and Python Point of Contact Rachel Eligibility Requirements Citizenship: U.S. Citizen Only
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in the one of the relevant fields. Preferred Skills: Strong skills in data analysis and database management; statistics and programming knowledge preferred (e.g. R/R Studio, SAS, Stata, SQL, Python
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physical activity promotion. Learn how to apply quantitative and qualitative analytic methods, including opportunities to use GIS, statistical software (R or Python), and emerging analytic approaches