102 python-"Computer-Vision-Center" "Computer Vision Center" positions in Switzerland
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software skills or a related field, or equivalent practical experience. Strong Python programming skills and experience developing and maintaining applications used by others, including automated testing
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character rendering, animation, and interaction with a Python-based backend that orchestrates large language models, dialogue management, speech processing, memory, and other AI components. We are currently
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into a working MVP fast enough to support the next grant application round. Main duties and responsibilities Rebuild the RVI scoring engine as clean, standalone Python code, implementing the validated
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, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic, independent working style and ability to work in a collaborative
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strong background in programming (Python, C++, matlab, etc), robotic control and usage of machine learning techniques. Experience with Linux and ROS / ROS2 framework is strongly preferred. You are familiar
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characterization is an advantage. Experience with quantitative data analysis and programming (e.g. Python or MATLAB) is an asset. A self-motivated and organized working style, with the ability to work independently
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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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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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skills, particularly in Python, shell scripting, and PowerShell, with the ability to develop maintainable automation tools and software solutions. Strong proficiency in Linux and Windows operating systems
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degree in hydrology, environmental sciences, climate sciences, or a closely related field. We seek candidates with strong skills in programming (e.g. R or Python), statistics, risk assessments, and data