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procedure. Develop Python-based image-processing and annotation workflows and train and evaluate segmentation models for the automated detection and quantification of relevant visual features. Profile
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Albert Einstein to life as an interactive conversational agent. The system combines a Unity-based frontend for real-time character rendering, animation, and interaction with a Python-based backend that
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laboratories. Ensure data completeness, consistency and quality throughout the project lifecycle. Maintain and update metadata within LabKey and related systems. Write and maintain scripts (e.g. in Python or
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candidate’s background, the role may focus more on embedded software and firmware for low-level devices, or more on higher-level Python-based control software, automation and system integration. We are also
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physical platform; components are designed for reuse across all deployment contexts Python backend development, with a focus on LLM integration such as improving dialogue quality, story adherence
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, computer vision, signal processing, or condition monitoring Strong programming skills in Python and experience working with experimental data Strong interest in combining mechanical modelling
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have experience with Python, web scraping, and SQL . Experience with NLP, statistical methods, LLM pipelines, LLM APIs, and/or Docker is a plus For the Computer Vision & Visual Data Analysis profile
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for the community. This role requires strong Python and software engineering skills, experience with LLM inference stacks, and a track record of open-source contributions. Project background We train
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and serving. This role requires strong Python engineering, hands-on LLM evaluation experience, and the ability to work collaboratively in a research-focused environment. Project background We train
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partners Provide organizational support to the group head Profile A PhD in engineering with a focus on industrial applications A proven track record in AI and strong proficiency in Python At least 3