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web and linking source populations to the underlying halo and galaxy distribution; developing SBI pipelines for Fermi-LAT data, first standalone and then jointly with LSS. Qualifications. A PhD in
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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python
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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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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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ExperienceNone Research FieldPhysics » Surface physicsYears of Research ExperienceNone Additional Information Eligibility criteria A PhD in experimental physics and a background in the study of correlated-electron
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learning aspects, in order to connect the physical architecture, measurement protocols and classification performance. • Electrical and radio-frequency characterization of chains of magnetic tunnel junctions
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the supervision of students (interns and/or PhD candidates) -preparation of scientific publications and progress reports -presentation of results at national and international conferences This work will be carried
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and 2 PhD students. The CEISAM encompasses all the research activities carried out in the area of molecular and material chemistry in Nantes and its surroundings. The CEISAM Institute is located
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/Emissive. It will be articulated with a research engineer in computer science responsible for the computational formalization of the design space, the PhD student in psycho-ergonomics responsible for usage
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to publicly available data, in particular from DESI/Euclid and the Fermi-LAT telescope. Qualifications: Applicants should have: a PhD in cosmology or astrophysics (completed by the start date), demonstrated