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least 5 years of experience in software development, with a focus on RESTful APIs Technical Skills Proficiency in Python 3 (Flask/Django experience is a plus) Experience with Java and its ecosystem
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, clustering, classification • deep learning, variational auto-encoding, back-propagation • excellent knowledge of R and Python. The knowledge of C++ would be a plus. Application: Application files should
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experience: – Recommended: Data analysis using Matlab or Python (signal processing, electrophysiology, image analysis, and statistics) – Optional: Two-photon microscopy, development in LabVIEW • Personal
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experience with HHG sources are a plus but not critical. Knowledge of programing languages such as Python (and with finite element simulations specifically) would be also valuable.
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modeling, meta-modeling, or statistical learning Strong programming skills in Python and/or C++ Familiarity with EDA tools, digital architecture, or embedded systems is a plus. In accordance with
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, programming in Python, advanced vector data analysis software (e.g. Paraview), knowledge of condensed matter physics, magnetism and/or electron microscopy.
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experience with MTJ-based devices and magnetic/electrical characterization tools. • Knowledge in ion beam processes. • Fluency in data analysis (e.g. Python). • Excellent communication skills in English
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to learn: R, python, Java, web services, Docker containers and UI design Git-based subversion control (GitHub, GitLab) Non-target workflows for mass spectrometry data Major cheminformatics toolkits (e.g. CDK
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simulation (Pytorch, Python, MATLAB, ...). A general interest in health and biology is welcome. Practical information MORPHEME research team is a joint research group between INRIA Sophia Antipolis
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related field At least 5 years of experience in software development, with a focus on full-stack development Technical Skills Strong proficiency in Python 3 Flask/Django or other MVC framework HTML/CSS