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the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
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biostatistics, bioinformatics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and statistics / machine learning is required Previous work and
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biology, microscopy and image analysis, and bioinformatics will be highly considered. Required languages: French and/or English. LanguagesENGLISH LanguagesFRENCH Additional Information Selection process To
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 9 days ago
using phylogenomic approaches. More specifically, you will perform the bioinformatic reconstruction of ancient viral sequences obtained from the sequencing of ancient human remains from diverse locations
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medicine and bioinformatics through innovative data integration, visualisation, and advanced analytics. Our research integrates bioinformatics, data science, and IT solutions to advance digital health and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 days ago
Computer Science, Machine Learning, Bioinformatics, Computational Biology, or related fields. Strong experience in deep learning, ideally with PyTorch. Proven experience with graph neural networks, geometric deep
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chemistry, bioinformatics, or a related field §you have mastered molecular modeling techniques, machine learning algorithms, and programming languages like Python §you are highly collaborative, with excellent
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/Qualifications Candidate profile: The ideal candidate is a Master’s level student (M2) or an engineering school graduate with skills in plant physiology, molecular biology, bioinformatics, and statistical data
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Practical experience in proteomics and interactomics is a plus Practical experience in ribosome biology is a plus Experience in bioinformatics/computational biology is a plus Practical experience of protein
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analytical and bioinformatics tools to analyse and interpret data To establish workflows for the collection and analysis of samples, human stem-cell-derived brain organoids, and to develop experimental