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the in-house database and experimentalist, external collaborators, or the public. These interfaces will be key in helping experimentalists explore bioinformatics results to prioritize their candidates
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candidate, with a strong background in the development of machine learning methods for bioinformatics. The project focuses on the development of new neural network architectures to perform inference
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department and the Plant Reproductive Strategies (SRP) team. Our team focuses on the evolution of plant reproductive systems, using diverse approaches including theory, experimentation, bioinformatics, and
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the different teams. As part of the HORUS project (Casting Light on HOst-cytomegaloviRUs interaction in Solid organ transplantation), we are recruiting a bioinformatics engineer W/M. Funded by Horizon Europe
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and important criteria for candidates ** Required: - a master degree or an engineering degree in computer science or in computational bioinformatics with strong emphasis on algorithms - ability
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Angers, Pays de la Loire | France | about 1 month ago
collaborators, work on this innovative theme on perennial plants using bioinformatics and genomics approaches, as well as experiments in the laboratory and in orchards/greenhouses. You will characterise
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6 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Grenoble Research Field Biological sciences Computer science Mathematics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 26 Jan 2026 - 23:59 (UTC) Type of...
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applying bioinformatics tools capable of predicting protein aggregation and co-aggregation, followed by large-scale scanning of microbial proteomes against the human proteome. The objective
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ExperienceNone Additional Information Eligibility criteria • PhD in statistical genetics, bioinformatics, evolutionary genetics, or a related field (obtained or in progress) • Strong knowledge of statistical
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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