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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38,5 h/week) The position is offered as a fixed-term appointment until 30 September 2032, corresponding to the duration of the professorship
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expertise in genomics and bioinformatics. The Postdoctoral Scholar will join a team of collaborators investigating the roles of gene duplication and introgression in how wild rodent herbivores metabolize
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gain expertise in stem cell biology, genome engineering, neural differentiation, and bioinformatic analysis while addressing fundamental questions about how chromosomal imbalances cause developmental
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human primary cell cultures, microscopy and image analysis, and bioinformatics skills will be highly considered. Required languages: French and/or English. To apply Please contact Dr Valérian Dormoy
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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collaborators (J. Drury and D. Schluter) and other french collaborators (such as J. Clavel, J. Chave, G. Grenouillet, J. Murienne, P. Tedesco, A. Fouquet). Our lab combines genetics/genomics, phylogenetics, niche
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Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent). Applicants
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Microbiome Ireland, known for the discovery of several key bacteriocins including Lacticin 3147, Bactifensin, and Nisin J. Essential Qualifications and Key Competencies Ph.D. in Food Microbiology
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
knowledge in molecular biology experiments - A demonstrated track-record in handling DNA sequencing data and bioinformatic analyses. - A curious, collaborative, and cross-disciplinary mindset. - Very good
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human