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Field
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focuses on the full lifecycle of AI application development: writing production-quality code in Python and Go, building and optimising AI agents, developing rigorous evaluation and testing frameworks
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is preferred. • Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell. • Ability to construct and write papers for leading research journals and conferences
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skills such as Python and Django. • Security compliance experience such as NIST 800-171, CMMC L2, and FAR to protect data such as HIPAA, CUI, Export Controlled, etc. • Progressively responsible
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++, Python) supporting hardware test, automation, and data collection Perform hands-on assembly, wiring, configuration, and bench-level testing of hardware/software systems Support system integration, test
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to this classification, as directed Job Requirements: A Master’s degree in computer science, data science, information science, digital humanities Experience with social science/humanities/arts research methods Python
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, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user-friendly Graphical User Interfaces (GUI:s) High motivation
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. Main duties and responsibilities Extract and harden a scoring engine from an existing Python/Streamlit prototype into robust, standalone code Rebuild the data layer from Neo4j to a Python-native graph
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/maintaining, isotope ratio mass spectrometers or similar Familiarity with software that can be used to process mass spectrometric data (R, MATLAB, Python), and some basic coding experience. Cooperation between
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Python and with machine learning toolkits; experience with software development practices, including git-based version control and CI/CD; excellent project management, analytical, problem-solving
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Computer Engineering, Engineering Physics, Aerospace Engineering or related areas. Basic knowledge of electromagnetics/RF. MATLAB/Python, RF instrumentation, electromagnetic simulation (CST or HFSS), 3D