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Field
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supporting services Contributing to and influencing software architecture, including microservices‑based implementations Building and maintaining robust backend services using Python (Django) and Node.js
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to learn robotics or human-centered research methods will also be considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS
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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
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, custom ringtones, specific genres). Required knowledge Python programming Machine learning background Audio analysis
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, enabling proactive measures against potential threats. Required knowledge Python programming Machine learning background
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, accessible UI design demonstrated experience with technical standards, languages, frameworks such as HTML/CSS, Python, JavaScript, React, Angular good understanding of customer-centric design, UX principles
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reasoning and robotics C/C++ programming and knowledge Python programming
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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis
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: Familiarity with CI/CD pipelines, GitOps tools (ArgoCD, Flux), monitoring frameworks (Prometheus, Grafana), and scripting in Python Research Software & Data: Hands-on experience with database management
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demonstrated experience in bioinformatics and/or advanced statistical analyses (e.g. Python/R, Linux environment). Evidence of capacity to problem-solve and troubleshoot independently, with a solutions-focused