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datasets, and strong programming in Python and C. Familiarity with galaxy-redshift survey or 21-cm data analysis is a plus. The successful candidate will join the cosmology and astroparticle team at LAPTh
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 months ago
Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09703 Requirements Skills/Qualifications Technical skills and level required: Good skills in Python programming and/or C++ Good
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programmation (idéalement, python fortran 90). Les connaissances requises sont celles enseignées au niveau d'un M2 en Astrophysique. Une expérience en manipulation de données astrophysiques est souhaitable mais
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Palaiseau, le de France | France | 27 days ago
,... Exemple de cursus d'origine: master en sciences de l'atmosphère / (astro)physique / planétologie / mécanique des fluides. Programmation: connaissances en Fortran, python ou autre. Goût pour le numérique
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auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
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available in Python packages. This second doctoral student will focus on dynamic aspects when, due to external forces, the network of conduits changes topology as a result of competition between the system's
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highly desirable. The successful candidate should also have experience with data analysis tools (Python and/or MATLAB), and ideally be familiar with the challenges associated with imaging biological
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samples (cell culture) and/or nanomaterials is an asset -experience in scientific programming and data analysis using Python and/or MATLAB -ability to work in an interdisciplinary environment and to
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programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a