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Field
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(required) quantitative skills in time-series analysis, biogeochemical data processing, and uncertainty assessment (R, Matlab, Python, or similar) (desired) excellent English communication skills and the
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relevant field (Informatics, Computer Science, Ecology, or Biology). strong Python programming skills proven experience with Machine Learning and image processing (Deep Learning/Object Detection) strong
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, and cybersecurity. Programming skills (C, C++, Python, or Matlab). Eager to work within a team and independently. Ability to collaborate with industry and academic researchers. Fluent in spoken and
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academic track record proficiency in programming (preferably in Python), personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving
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applications. Experience in natural language processing, model evaluation, or experimental design is advantageous. Proficiency in Python and/or R and familiarity with AI/ML libraries or generative AI platforms
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for data acquisition and analysis (e.g., Python or LabVIEW) are highly desirable. After a training period, you will operate and maintain the fast EC-STM system and contribute your own ideas to the project
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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candidates will have: A solid grounding in mathematical or physical sciences Interest in dynamical systems and complex system behaviour Some coding experience (Python and/or Julia) Enthusiasm for working
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image processing/?tomography - advanced programming skills in Python - excellent command of English (written and spoken) Assets: - team-oriented mindset with strong communication and organizational skills
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/deep learning and image processing/tomography advanced programming skills in Python excellent command of English (written and spoken) Assets: team-oriented mindset with strong communication and