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). The Bokulich laboratory develops bioinformatics methods and software for microbiome research, including QIIME 2, and applies these tools to study microbiomes at the interfaces of foods and human health. Job
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Biology, Bioinformatics, Cancer Biology, Molecular Biology, Pathology, or a closely related discipline. Strong background in spatial omics technologies (e.g., spatial transcriptomics, high-plex imaging
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well as computational analysis (bioinformatics, data handling and AI-supported analysis and engineering). The work is embedded in a network of groups in Xenobiology located in France, Germany, and Belgium. Applications
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, scientific curiosity, and a collaborative mindset. As a member of the FGCZ Genome Informatics group, the candidate will provide bioinformatics services to support ongoing projects. This includes performing
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fluids. Together with the Bioinformatics team, the Proteomics Unit covers all steps from initial consultation, experimental design, sample preparation, liquid chromatography mass spectrometry (LC-MS) data
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technologies to characterize animal genomes, and apply bioinformatics and statistical genomics approaches to identify trait-associated sequence variation. We offer a PhD position at the interface
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applies state of the art technologies to sequence the genomes and transcriptomes of farm animals with long and short reads, and applies bioinformatics and statistical genomics approaches to characterize
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, or related disciplines, and bring experience in several of the following areas: Peptide synthesis Mammalian cell culture Protein biochemistry Mass spectrometry Bioinformatics and programming A
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microbiology/bioinformatics or nutrition (essential), experience with metagenomics (desirable), bioinformatics (experience using R or Python), multi-omics, and biochemistry. Communication capability in English
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research with state of the art technologies for genomics, transcriptomics, proteomics, and metabolomics as well as by high-end bioinformatics analysis. The successful applicant will be part of the Genomics