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You You will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in
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. Position qualifications: PhD or equivalent degree in genetics, epidemiology, biostatistics, bioinformatics, or a related quantitative field Strong publication record Strong research interests in genetic
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 15 days ago
disseminate the developed methods. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09574 Requirements Skills/Qualifications PhD in Computer Science, Machine Learning, Bioinformatics
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to support your career goals and provide access to state-of-the-art facilities. Candidates with background knowledge and hands-on experience in transcriptional regulation, 3D-organoids and bioinformatics
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community of PhD candidates and postdocs and apply your methodologies to the rich datasets available within the consortium. The programme builds on and fosters many national and international collaborations
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these daily): A PhD in virology, molecular biology, biochemistry, or a related field – enabling you, to design and interpret functional assays on HA and NA. Experience with protein or virus-related laboratory
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redox or metabolic signaling, including experience with in vitro and in vivo models, intermediate to advance programming/bioinformatics skills, along with excellent written and oral communication skills
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students. This is part of your personality: We are looking for someone with: Minimum Requirements PhD/Doctorate in bioinformatics, computer science, natural sciences, or related disciplines Strong
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modalities. Therefore, the ideal candidate will be expected to conduct homologous overexpression, gene silencing, sequence analysis and contained phenotyping. Education A PhD in Molecular Biology, Genetics
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, neural differentiation, and bioinformatic analysis while addressing fundamental questions about how chromosomal imbalances cause developmental disorders. This work has direct translational potential, as