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international events. The backend is implemented in Python and orchestrates large language models for dialogue management and response generation. We are currently extending the platform to a new Digital Curie
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cognitive tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and
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, retrieval products) Strong programming skills in Python Experience in machine learning, ideally including deep learning architectures such as graph neural networks, transformers, or spatio-temporal models
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university Background or strong interest in mechatronics, optics, electronics with hands-on experience Manual dexterity and careful working style, workshop and/or electronics experience is a plus Basic python
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scripting, high performance computing, or advanced statistics and data analysis frameworks (python, R) Regardless of background, the successful applicants will have an interactive personality, motivation
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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at international conferences Profile Education: An MSc degree in Geophysics, Physics, Mathematics, Data Science, or a related quantitative field Technical Skills: Strong programming proficiency (primarily Python
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environments Willingness to participate in underground field campaigns Skills in numerical modelling (e.g., fracture mechanics, fluid flow) Strong programming skills (e.g., Python, MATLAB, or similar) Experience
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numerical modelling tools Programming skills (Python and/or matlab required) Willingness to participate in underground field campaigns Ability to work in an interdisciplinary and collaborative environment
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, PorePy, or similar) Programming skills (Python, MATLAB, or similar) Experience with field data and/or underground experiments is an advantage Ability to work independently and lead research activities