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. Development and integration of state-of-the-art machine learning techniques in the analysis and event reconstruction will be a major component of this work. - Characterization of silicon detection modules using
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. This project aims to evaluate its potential as a regulator of the antitumor immune response. The site is accessible by tram (Line A, Campus Illkirch station) from the Strasbourg train station or by car (parking
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, ideally molecular dynamics and/or DFT. Scientific programming skills, particularly in Python, are expected. Familiarity with machine learning or generative AI methods applied to materials would be a strong
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of the monetary union Publishing articles in leading journals, book, and guides for computer coding Work location: Martinique UMR CNRS 8053 PHEEAC (Power, History, Slavery, Environment, Atlantic, Caribbean) is a
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of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for a doctor in particle physics with less than two years of experience after the PhD. Experience in machine learning and
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provided (equipment, IT, etc.): An office equipped with a computer workstation and shared equipment from the Institut Curie research team Key contacts (within and outside the CNRS): Team leader (Scientific
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, postodcs and student trainees). The postdoctoral researcher will interact on a daily basis with all LSMBO staff, including mass spectrometry engineers, computer scientists and bioinformaticians. He/she will
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experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in particular simulation-based inference), strong programming