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Field
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types. Familiarity with data preprocessing pipelines for high-throughput omics data (e.g., Nextflow). Strong programming skills in Python (Data and Machine Learning stacks). Experience with version
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fields (genetics, genomics, bioengineering, applied mathematics) Obtained or will obtain a Master’s degree in the above fields (For biologists) Intermediate programming skills in R or Python and prior
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and communication skills, experience working with data in either R or Python, a medical degree, experience in functional genomic analyses, and experience working with people with lived experience in a
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, multiphase flows, or similar areas. A deep understanding of the physics and dynamics of fluid and thermal systems. Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent
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the context of type 1 diabetes. Essential Master's in bioinformatics, data science, biomedicine, bioengineering, biotechnology or related fields Programming experience in Python and/or R Excellent
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, including Python and Git/Github; data analysis experience, including AI and machine learning methods; and a broad knowledge of college sports and/or elite-level competitive athletics. Special Instructions
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the U.S Experience working with spatial data and machine learning models. Strong knowledge of programming languages, such as Python, R . Demonstrated skills in scientific writing, publications, and
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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computing tools (Fortran, C/C++, Python, Linux) - fluency in English and proven international experience Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5508-FRARAD-002/Candidater.aspx
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain