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our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series intervention
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. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series
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, including meta-analysis using PLINK 1.9 (fixed-effects inverse-variance model), conditional analysis using REGENIE, and fine-mapping of HLA–protein associations. You must hold a first degree in Genomic
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partners to coordinate data sharing and meta analysis efforts ML – Develop and validate cancer risk models Manuscripts and grants – Contribute to scientific publications, presentations, and grant
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on soil organic matter cycling Literature research and (meta-)analysis to provide evidence-based knowledge for model parameterization Quantify the coupled carbon and energy turnover of specific biomolecules
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-extension declaration. Your profile The position holder will work on employing bioinformatics to elucidate the dynamics of the (meta)proteome in preclinical mouse models and in clinical projects. Candidates
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biodiversity and services. Thus experience working with sequencing pipelines (bioinformatics and statistical analysis), public sequencing databases, and meta-analysis are desired and should be highlighted in a
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fungal ecology, (meta-)genomics, bioinformatics, and multivariate statistics. Experiences in forest ecology and biogeochemistry are welcomed but not required. You are highly self-motivated and committed
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here are two related problems: systematic meta annotation (especially cell types) of connectomics datasets, and across-dataset mapping. This work feeds into the biological question of how stereotyped
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whole-brain scale analysis of multimodal features such as connectivity, morphology or cell ultrastructure. Of particular interest here are two related problems: systematic meta annotation (especially cell