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Python and Fortran Familiarity with climate data formats (e.g. NetCDF) and relevant tools (e.g. xarray, CDO) Proficiency with Linux/Bash and Git version control Experience with HPC/supercomputing
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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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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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agricultural sciences or a related field Several years of research experience in field crop phenotyping Good statistical and programming skills (e.g. in R or Python) Evidence of research excellence through peer
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agricultural, data or engineering sciences, or a closely related field Experience with fieldwork Good statistical skills Programming experience (e.g. in R or Python) Good standard of written and spoken English
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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