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ESRF - European Synchrotron Radiation Facility | Grenoble, Rhone Alpes | France | about 2 months ago
years' relevant professional experience; Strong working knowledge of Python; Solid understanding of metadata concepts and common data formats; Experience in developing desktop and web-based graphical
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, information science, sociology, communication science, political science, linguistics, physics Very good knowledge of R and/or Python Experience in the use of machine learning and natural language processing in
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research community. As an Engineer with Python development skills, you will be working as part of a team to deliver the technical infrastructure and services of the Digital Library Infrastructure Project
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the implementation of optimization algorithms using tools such as Python and MATLAB. Provide feedback on student progress and common challenges to the course instructor. Coordinate exam proctoring and ensure clear
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solving and decision-making skills. Expert in SQL, Python, R, and Excel. Proficiency in relational databases with experience designing transformations, mappings, and working with reference table. Knowledge
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programming languages such as Python or R and be willing learners of new software engineering skills. It is also beneficial to have familiarity with behavioral science and social science more generally
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least five years of experience in software development, with at least one year in a senior developer role. Experience with a range of programming languages, which could include Python, VBScript, HTML, SQL
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Classification Title: AST/ASO/FULL PROF Classification Minimum Requirements: • Ph.D. in computer science or related field • Expertise in AI/ML, deep learning • Expert proficiency in Python, PyTorch
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control. High proficiency in programming (C, C++, Python, MQTT, Matlab, among others) and dominance with industrial communication protocols such as ModbusTCP, OPC-UA, among others. Knowledge in digital
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using Python. Analyzing both quantitative and qualitative data including methodologies such as multiple regression, thematic analysis and text mining. Transcribing and coding qualitative data using