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bioinformatics with at least one scripting language (R, python, bash) and expertise in high-throughput sequencing (ideally, including long-read sequencing) data analysis and statistical skills. Excellent written
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.) Data analysis and statistics (R, Python) Qualified applicants should send their CV, a statement of research interests and the contact information of two referees before March 9 to david.bikard@pasteur.fr
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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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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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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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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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: Python programming Bash programming Familiarity with genomic data Notions of algorithmics Experience with back or front-end web development is a plus Soft skills : team spirit ease in communication
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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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or similar Relevant skills : Hard skills : Python programming familiarity with the fundamentals of machine learning and interest on methodological aspects fluent English both spoken and written is required
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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