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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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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
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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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(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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auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
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. Required Skills and Candidate Profile The project is intended for a candidate with: ➢ Skills in medical image processing and deep learning adapted to clinical applications. ➢ A good knowledge of Python
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, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with