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Field
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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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skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
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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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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation
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experience working with cohort data or electronic health records is an asset; Interest in digital health and diabetes research; Proficiency in R and/or Python; Excellent writing and communication skills in
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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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qualifications: Masters degree in cognitive science, vision science, neuroscience, or related fields Programming skills (Python, MATLAB) Good communication skills in English Experience with experimental data
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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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(Python, Pytorch, Matlab...). A general interest in health and biology is welcome. Practical information The post-doc will take place within the Inria Morpheme team, a joint research group between Inria