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Eligibility criteria The recruited person must have expertise in cosmology, numerical development and machine learning. They must be proficient in the Python programming language, with experience in JAX being a
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, ideally applied to thin-film growth by PVD. Skills in data analysis, programming (Python, etc.), and the ability to work at the interface between simulation and experimentation in collaboration with
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criteria - Computer skills, particularly in Python and C++, are necessary for the development of the analysis software. Knowledge of Git version management software is also desired. - Proven knowledge
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- Polyploidy and genomic instability - Automated image acquisition - Scientific programming (Python, Java, or MATLAB) 4. Soft Skills and Professional Qualities - Strong analytical skills - Scientific curiosity
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using Python, Matlab, or equivalent programming languages. Previous experience in interdisciplinary research projects at the interface between engineering, materials science, and biology will also be
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skills in Python and experience with HPC environments. Experience with galaxy redshift surveys and/or gamma-ray astrophysics is desirable. We welcome applicants from diverse backgrounds who are eager