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advanced analytical skills including statistical programming in Python, Stata, R, and/or SAS • Excellent communication and presentation skills • An ability to work both independently and in teams Benefits
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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, and sleep stages using Python Contributing to and shaping cross-species computational modeling Leading publications and presenting results at international conferences Mentoring junior researchers and
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; Knowledge of software such as Comsol, Lumerical, Optical Studio; Knowledge of programming languages: Matlab, Python; Ability to solve technical problems; Creativity and communication skills; Manual skills
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, religiosity, trust in local leaders). The candidate will be supervised by Prof. Francesco Ferlenga The successful applicant should have: Proficiency in programming languages (Stata, R, Python, …), excellent
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skills in Python and/or R. Experience with Google Earth Engine. Ability to work both independently and collaboratively in an international research team. Ability to write and communicate in English
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Brest, Bretagne | France | about 2 hours ago
and Education Agency Where to apply Website https://www.hellowork.com/fr-fr/emplois/77675886.html Requirements Research FieldEnvironmental scienceEducation LevelMaster Degree or equivalent Skills
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools for highly dynamic SatCom systems Implement and open-source proof-of-concept
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understanding of human genetics. Knowledge of DNA and RNA sequencing analysis, of programming languages such as R, Python, or Bash script, and of bioinformatics pipelines for genomic data analysis is essential