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) Inferring context-specific site variation with evotuned protein language models. NAR Genomics and Bioinformatics, 8(1):lqag018. doi: 10.1093/nargab/lqag018 MacLean et al. (2026) Protein language models learn
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quantitative analysis of macromolecular interactions; epigenetics and functional genomics; or fungal molecular genetics. Experience in quantitative microscopy, 3D imaging and image analysis, or in bioinformatics
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Post-doctoral Nuclear Receptors, Immuno-inflammation and Cardiovascular Diseases INSERM Lille FRANCE
French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 3 months agomodified mice; - Bioinformatic/statistical analyses; - Preparation of scientific articles and presentation at local and international meetings. Application procedure. Candidates should send a CV with a
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. - Bioinformatics interpretation of data. - Monitor project(s) - participate and present results in consortium meetings. - Write reports. - Present, disseminate and promote achievements. - Ensure traceability
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bioinformatic analysis of the resulting datasets. You will work to integrate proteomic data with orthogonal single-cell modalities including transcriptomics and imaging, and collaborate closely with clinical and
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immunology and bioinformatic analysis (e.g., scRNA-seq) (highly desirable). Skills in in vivo models are an advantage. Ability to work independently and collaboratively within a diverse, international team
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the project's personalized treatment algorithms. For further information, please contact Prof. Dr. Antonio del Sol, antonio.delsol [at] uni.lu . Your profile Ph.D. degree in computational biology, bioinformatics
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a