Sort by
Refine Your Search
-
advanced programming skills (e.g., Python, R, or similar) and are comfortable working with large datasets. You have a solid quantitative background, with coursework in Finance and Econometrics considered
-
Python Fluent in both written and spoken English Additional Information Benefits Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic
-
. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
-
skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and interdisciplinary project
-
and/or cognitive neuroscience, preferentially in the field of attention and memory Excellent research methods knowledge and skills Solid programming skills (e.g., MATLAB, R, Python) Demonstrated
-
scientific programming in Python are considered assets Motivation to work hands-on at the beamline and contribute to user support activities Additional Information Benefits We offer Our institution is based
-
Advanced programming skills in Python, with deep experience in libraries such as PyTorch, Pyomo, and the broader scientific stack (Xarray, Pandas). Knowledge of MATLAB is desired but not a requirement A
-
optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
-
Excellent critical programming skills in Python Strong command of English (spoken and written) Familiarity with ethical and responsible AI considerations Interest in translating models into applied
-
Vision, or a related field. Proven experience in photogrammetry, image-based 3D reconstruction, and cultural heritage digitization. Solid programming skills (e.g., Python, C++) and familiarity with