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experiment. Finally, bioinformatics will be used to compare the sequences enriched in each experimental context (topology, addition of chemical modifications, medium composition). The most promising constructs
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. cerevisiae yeast . Expertise in omics methods. . Preferred: ability to perform bioinformatic analyses Interpersonal skills. Independence. Ability to work in a team and adapt to the needs of colleagues
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BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
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(epifluorescence, etc.) Preferred Skills: • Interest in parasitology • Biochemistry (recombinant protein expression, immunoprecipitations, proteomics, etc.) • Bioinformatics (R, etc.) The candidate must have a PhD
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translational medicine and bioinformatics through innovative data integration, visualisation, and advanced analytics. Our research integrates bioinformatics, data science, and IT solutions to advance digital
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting
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Strong theoretical background and practical experience in neurosciences, with a keen interest for neurometabolism Solid bioinformatic and biostatistics skills will be required Excellent organizational and
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, bioinformatics, etc.), the laboratory offers a supportive and collaborative environment, with multiple opportunities for personal growth.If you wish to apply and submit a joint project, please send an email to
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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