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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
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been proposed: traditional computer‑algebra methods [3], reduction of the problem modulo a prime p [6, 2], and symbolic‑numeric methods [4, 1]. This postdoc proposal concerns the second modular approach
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missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the channels
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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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or python, or analytical modeling), OR optomechanics, OR high frequency devices. You are eager to learn and expand your knowledge! Basic knowledge of analog and digital circuits. Experience with various
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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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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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systems are required. A strong motivation to perform cutting-edge experiments under extreme conditions is expected. For that purpose, good technical skills (or a willingness to acquire them) are essential