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skills in Python and/or R; experience with Linux/HPC environments is an advantage Experience with genomic data analysis, high-performance computing, GPU programming, or software development is a plus
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(Linux, HPC clusters). 8. Pursuant to article 5 of RJEC, the selection is to be made based on the evaluation of the scientific and curricular career of the candidate. 9. Scientific and curricular career
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related fields. Language: English (IELTS 6.5 or equivalent) Software: - Proficiency in programming and Linux systems. - Strong background in telecommunications, networking, and/or computing. - Experiences
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of changes in ice-nucleating aerosols, including those from anthropogenic emissions, on clouds and climate. The work will involve coding with FORTRAN 90 in a linux environment. The work will be performed in a
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the Linux file system - Extending BPF capabilities if required - Designing and implementing benchmarks to evaluate the prototype - Writing a scientific paper to present the results Where to apply E-mail job
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background in bioinformatics, systems biology, molecular biology or a related field You should have strong programming skills (preferably in R and Python) and familiarity with Linux Experience in constraint
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, RNA biology and therapies - NeuroRNA” group of Biogipuzkoa Health Research Institute (www.neurornalab.com ; https://www.biodonostia.org/areas_investigacion/neurociencias/neurorna/ ) DUTIES AND
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, statistics or fluid dynamics Excellent knowledge of statistics Proven knowledge of Python, R, Matlab or a similar programming language Experience with Linux/UNIX environments Excellent oral and written
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of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
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Website https://emploi.cnrs.fr/Candidat/Offre/UPR2357-PATACH-008/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research FieldBiological sciencesEducation