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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
. Use of digital earthquake models; The code used for calculations is written in Fortran, and the tools for processing input and output data are written in MATLAB and Python. The postdoctoral researcher's
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stakeholders. Required profile The candidate is expected to: • understands the inner working of energetic systems • knows about optimisation technics • be familiar with Python programmation language • possess
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 months ago
license. Main activities: develop a state-of-the-art teleoperation interface, in Python or C++ work with an advanced robot in ROS2 help the team to deploy and experiment with the robot Where to apply
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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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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environmental physics affects larval actions Develop robust APIs for community access Required Qualifications Essential: Strong background in finite element methods and numerical simulation Proficiency in Python
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- python programming Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8214-SANLEV-038/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut des Sciences
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Familiarity with omics approaches such as scRNA-seq, proteomics Programming or data analysis skills such as R, Python, or similar Experience in international collaborative projects Experience with laboratory
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experience (perception, prediction, planning/control integration) Proficiency in Python and modern ML tooling is expected, along with familiarity with a quantum SDK (e.g. Qiskit). 5 How To Apply Interested