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using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C++ or Python is desirable. Excellent verbal and written
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development from spatial transcriptomics data. Activities : – design of a new mathematical method – monitoring and study of publications relevant to the field – programming/coding in Python (Pytorch
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The HUB : https://research.pasteur.fr/en/team/bioinformatics-and-biostatistics-hub/ Degree: Master degree in computer science, computational biology, bioinformatics or similar Relevant skills : Hard skills
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% with Laura Cantini’s team and 20% with the Bioinformatics and Biostatistics HUB. Information about the teams : The Machine Learning for Integrative Genomics team : https://research.pasteur.fr/en/team
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knowledge of music Skills Proven expertise in auditory perception. Master’s degree of audio engineering and signal analysis tools (e.g., MATLAB, Python, Max/MSP, or equivalents). Ability to design and lead
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environmental physics affects larval actions Develop robust APIs for community access Required Qualifications Essential: Strong background in finite element methods and numerical simulation Proficiency in Python