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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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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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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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, optomechanics/nanomechanics. You have or are about to obtain a PhD in at least one of the following areas: nano-mechanics/nanoelectromechancics, OR multi-physics modelling (numerical simulations, e.g. matlab
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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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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