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of Minnesota Comprehensive Epilepsy Program (MINCEP). The successful candidate will be embedded within MINCEP and play a key role in supporting clinical epilepsy and neuromodulation activities, working closely
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: Generate high-quality reference genomes and transcriptomic datasets across breeds to support performance, disease, and comparative biology studies. ● Canine telomere-to-telomere assemblies: Produce complete
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, Statistics, or a related field, strong computing/programming and communication skills, and a strong interest in omics and/or imaging data analysis are required. Experience in Bayesian high-dimensional data
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for soft materials, with particular emphasis on thermo–visco–hyperelastic behavior, integrating continuum mechanics, scientific machine learning (SciML), and computational physics. The project aims
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settings. They will be highly motivated to drive the field forward by generating data for and writing high-impact publications. • 91% Bench Research: Design a semi-independent research project and perform
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sponsorship. *Duties/responsibilities: -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal preparation (20%) -mentoring PhD
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sponsorship. *Duties/responsibilities -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal preparation (20%) -mentoring PhD
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job *Duties/responsibilities -assist in performing directed high end scientific research and activities in
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. The candidate will perform: 1) single cell whole transcriptome and TCR clonotype analysis using short- and long read next generation sequencing, 2) epigenetic profiling of immune cells to discern the temporal
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join our research group to develop advanced techniques for ultra-high field (UHF) perfusion imaging. The successful candidate will have an opportunity to work with a highly experienced and multi