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programming languages (e.g., Python, shell scripting) or statistical analysis software (e.g., SPSS, SAS, R, MATLAB) is preferred. 6. Basic knowledge of statistics is preferred. 7. Electrical, mechanical
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tools, as well as server-side scripting (e.g., Python, PHP) and database systems (e.g., MySQL, SQL). Knowledge of digital accessibility standards, specifically WCAG 2.1 Level AA, and the ability to apply
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Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems Foundational courses (for Connect pathway students): Python programming, Mathematical
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lands flat. Sarcasm disappears entirely. In the Vetenskapsrådet-funded 4-year project Personalized Voices (https://www.speech.kth.se/personalized_voices ), we aim to change this. We will do this by giving
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. Proficiency in full-stack AI development - front-end and back-end (e.g., Python, React, Vue, Node.js, Typescript, API's, databases, Git/GitHub, CI/CD, AI Coding Assistants, Infrastructure as Code
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), Cloud Computing (e.g., AWS), Networking (e.g., Cisco CCNA), Database Management (e.g., MySQL, Oracle), and Programming (e.g., Java, Python, cloud based development). Effective interpersonal skills
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infrastructure concepts Proficient with scripting languages (Python, Powershell, Bash, etc.) Experience mentoring technical teams and leading complex projects Excellent problem-solving, communication, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
, tables, etc…); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python and deploy Jupyter notebooks. Experience working independently and
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prototyping, including microprocessor-based systems and embedded devices. Strong programming skills, including 5 years of experience in Python and proficiency in PyTorch. Experience in signal processing and
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AI and in silico methods (Ref. LISBOA2030-FEDER-00719600; 2023.18347.ICDT and DOI https://doi.org/10.54499/2023.18347.ICDT ), co-funded by Lisboa2030, Portugal2030 and by the European Union and by