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of bacterial genomes and comparative genomics across different strains. * Bioinformatic analysis of genomic data and identification of genetic variants associated with the observed phenotypes. * Integration
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unit under the supervision of the CNRS and the AMU, which explores the field of developmental biology and associated pathologies. The work will be carried out within the 'Computational Biology' team led
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Bioinformatics analyses guided by prior mechanistic knowledge will be conducted, using the known grouping structures among features in the omics data and dedicated approaches for structured data analysis With
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Description Candida albicans is a major human fungal pathogen and the species most commonly associated with invasive candidiasis, a disease estimated to cause nearly one million deaths worldwide each year. A
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://www.guermonprezlab.org ). There is strong evidence that some populations of CD8+ cells like tissue resident memory-like (TRMs) or poorly differentiated stem-like T cells (TSL) are associated with favorable clinical
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Background. Motor neuron diseases and neurodegenerative conditions such as Parkinson’s disease and Alzheimer’s disease are associated with progressive neuronal dysfunction and death, yet the
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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
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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