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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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, Slurm, etc.). - Strong skills in Python for data analysis and visualization. - Clear communicator with proven ability to write, synthesize, and present scientific results. Website for additional job
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. This project requires a good knowledge of the physics of US as well as some programming facilities (Mainly Matlab, Python but some C++ capacities are desirable). Skills in Artificial intelligence would be
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with surface science. Experience with molecular dynamics simulations and at least basic knowledge of machine-learning approaches for atomistic modeling are highly desirable. Skills in Python and
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protocols (Python or dedicated software). You will join the NanoBioSurf team within the Laboratoire de Réactivité de Surface (LRS), as part of a CNRS prematuration program. This project aims to develop a
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validation on simulated and real data Skills Abstraction capabilities, strong programming skills in C/C++ and Python, collaboration skills. English is needed. REFERENCES [0] C. Bekker, S. Rothmann, M. Kloppers
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related to scientific computing - A solid background in multi-linear abler and tensor contractions software development - Proficiency in multiple programming languages (Python, C/C++, or Fortran), ideally
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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level
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-level APIs to access various data sources, sensors, together with procedural data flow constructs to create and maintain complex data curation scripts (e.g., using Python). In smart robotic agriculture