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ESRF - European Synchrotron Radiation Facility | Grenoble, Rhone Alpes | France | about 2 months ago
years' relevant professional experience; Strong working knowledge of Python; Solid understanding of metadata concepts and common data formats; Experience in developing desktop and web-based graphical
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Computer Science, Engineering, Natural Sciences, or a related discipline. Minimum of two years’ relevant professional experience. Strong working knowledge of Python. Solid understanding of metadata concepts and
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will use and develop Python scripts for analysing results and may participate in the development of codes such as the observation simulator and the improvement of the controller. The proposed thesis will
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/Qualifications Profile - A solid background in continuum mechanics and computational mechanics is required. Advanced knowledge in scientific programming is also requested (e.g. Python, Matlab, possibly FORTRAN
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algorithms. Good coding skills in Python, PyTorch, together with a general interest in biology are welcomed. Application Applications should contain a CV, a motivation letter, and the names and contact
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related), molecular dynamics (GROMACS, NAMD) and docking (VINA and derivatives). - Proficiency in Python and Fortran languages and Bash scripting. - Proficiency in RDKIT and BioPython. - Proficiency in
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, library preparation, cell culture, and imaging - Proficiency in computer languages (bash, python, awk, R) - NGS/omics data analysis - Proficiency in statistics for high-throughput data analysis - Generation
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of statistical physics. Technical Skills: Proficiency in data analysis and modeling. Programming: Mastery of at least one programming language (Python, C++, Fortran, etc.). Experience: A minimum of 4 years of post
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proficiency: Matlab, Python, R, SPM, CONN; Very strong knowledge of neurophonetics, particularly stuttering and verbal disfluencies; Solid background in neuroscience and in the neuropsychology of language and
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the performance and sensitivity of a future space mission for cosmology. The candidate will be required to simulate the performance of a specific instrument using Python code in order to predict the sensitivity