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cutting-edge AI and ML methodologies into the drug discovery process, enhancing efficiency, reducing failure rates, and supporting therapeutic innovation. Resources and Collaborative Environment U-M
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. Excellent written and verbal communication skill Ability to work independently and as part of a team. Preferred but not required: expertise in bioinformatics for scRNA-seq data analysis (e.g., Seurat, Cell
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* Responsibilities include, but are not limited to: Genetic Data Analysis: Lead the design, implementation, and operation of production-grade genetics data pipelines: genotype/sequencing QC, imputation, GWAS, PRS, and
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lead several parallel implementation efforts for Merit's business systems, organization risk preparedness, and corporate software development needs. Manage medium to large-scale projects determined by
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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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cell or drug therapies. We are interested in recruiting bioinformatics research fellow with training in computational biology or biostatistics. relatstatistics, mathematics, or a related field.statistics
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patients with autoimmune disease. This research involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including
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studies, data science, bioinformatics, artificial intelligence, and clinical and translational research. Candidates will be responsible for performing reading, thoughtful analysis and synthesis
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and work full-time on-site. Mission Statement Our mission at the Life Sciences Institute is to promote the understanding of the fundamental processes of life, and to pioneer new ideas to improve human
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animal models. They will lead the modification of existing bioinformatic approaches and develop new tools for data analysis. The individual should be familiar with R or Python-based tools to analyze