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, computational neuroscience, or a related field Strong programming skills in at least one of the following: Python, R, MATLAB, C, or C++ Demonstrated experience in statistical analysis and/or machine learning
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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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in domains such as healthcare and robotics. The ideal candidate will have a strong background in web development and proficiency in coding including Java, Python, and JavaScript. YOUR MISSION: As part
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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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(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
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advanced statistical analysis Expertise in youth research is an asset Proficiency in data processing and analysis software (e.g. R, Stata, Python, SPSS) Proficient in at least two of the following languages
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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
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proficient in programming languages commonly used in genomics research (e.g. Python or R) and have experience in working with bioinformatics software. Good knowledge of English is necessary. The successful