269 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "J. F" positions in Switzerland
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- ETH Zurich
- University of Basel
- ETH Zürich
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- Paul Scherrer Institut Villigen
- University of Zurich
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Adolphe Merkle Institute
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responsibilities with the ECAF faculty Director, overseeing and coordinating technical staff and student assistants. Maintenance and service coordination: Plan and coordinate preventive maintenance, servicing
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novel research programme at the frontier of multimodal AI and ICU clinical cognition. Under the guidance of Prof. Jutzeler, a dedicated postdoctoral researcher, and collaborators, you will have access
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Forest Studio is designed as a modular modelling environment that integrates ecological theory, empirical data, and modern scientific programming workflows. This position focuses on advancing
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programming skills in Python Experience with machine learning systems or LLM-based architectures Experience working with complex data systems or developing applied AI prototypes Familiarity with modern AI tools
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, testing, APIs, data pipelines, containerisation, reproducible workflows (e.g. Docker, CI/CD, Nix), and programming in languages such as Python, Go, Rust, or similar. Exposure to data modelling or semantic
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, Earth Sciences, Physics, Engineering, or a related field Strong quantitative and analytical skills as well as programming skills (Python required; experience with seismic data processing is advantageous
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- or nanoplastics, online or offline ice nucleation experiments. A good knowledge of programming languages such as Python, R, MATLAB or IGOR is expected. Excellent English skills, both in verbal and written
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Strong background in seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB
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-learning models on distributed systems Strong programming skills in Python and familiarity with a modern ML stack (e.g., PyTorch, hydra, zarr, dask) and best practices MLOps Experience in handling and
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. Strong programming skills in Python and familiarity with a modern ML stack (e.g., PyTorch, hydra, zarr, dask) Experience in handling and processing large datasets or experience in high-performance