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Required Education Level: Degree: PhD or master level Degree Field: Biology / Radiation Biology Biophysics Medical Physics Computational Biology Bioinformatics Applied Mathematics (with focus on biological
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animal experimentation (mice) Solid knowledge in bioinformatics Excellent command of written and spoken English Operational skills/expertise : Proficiency in standard protein biochemistry techniques
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experimental microbiological and biogeochemical laboratory work. Generation and analyses (bioinformatic and statistical) of environment and microbiome data, including amplicon sequencing libraries, metagenomes
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analyses (bioinformatic and statistical) of environment and microbiome data, including amplicon sequencing libraries, metagenomes, and metatranscriptomes. • Publish (as lead and co-author) in leading
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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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and image analysis - Knowledge in in vivo physiology (e.g. calcium imaging) and bioinformatic analysis - Ability to conceive, execute, and complete research projects - Ability to design experiments and
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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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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