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Field
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/ML methods for large astronomical datasets -Human-AI collaboration frameworks for scientific discovery -Large-scale applications to observational data from current and future surveys Access state
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research profile in inverse problems and computational mathematics. About the job This project focuses on developing advanced methods for uncertainty quantification in inverse problems, i.e., mathematical
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 5 days ago
therapy treatments by implementing methods for considering the variable biological effectiveness of protons based on NTCP modelling, identified risk factors and the LET. # Of equal importance is your key
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relevant to the project, such as physics. Fluency in English, both in oral and written forms, is mandatory. The candidate should have a strong interest in physics (especially optics), numerical methods, and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
experience programming in the Unix/Linux environment using Python, Java, C/C++, or Julia; must have experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty
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represented by them in the context of the microbiome. Here, using a triptych approach leveraging in silico, in vitro and in vivo methods, we aim to specifically and systematically characterize and validate
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, in Portugal or abroad. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20, considering the valuation up to two decimal places. 6.3 — The jury
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Energy our research is targeting exactly this, and we are looking for a postdoc to numerically aid our team in the design of biomagnetometers. It is possible to get a deeper understanding of how the brain
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molecular physics, quantum computing, quantum many-body physics, advanced numerical methods. Contact(s) for information on the position (identity, position, e-mail address, telephone) : Prof. PUPILLO Guido
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seldomly consider the overall infective competence represented by them in the context of the microbiome. Here, using a triptych approach leveraging in silico, in vitro and in vivo methods, we aim