50 phd-position-in-database-modeling Fellowship research jobs at University of Michigan
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of AI models Confident teaching and coaching abilities Work Locations Our office is located on the University of Michigan campus in Ann Arbor, Michigan. This position is open to candidates who are seeking
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encouraged to apply for additional funding after one year. Required Qualifications* An MD or PhD degree is required for this position. We are seeking exceptional candidates with strong backgrounds in vascular
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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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AI expertise Experience in single-cell and spatial transcriptomics/multiomics data modeling and analysis Computational biology experience Cancer biology analysis experience Modes of Work Positions that
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Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
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experiments to validate findings from the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required
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of AI models Work Locations Our office is located on the University of Michigan campus in Ann Arbor, Michigan. This position is open to candidates who are seeking remote and/or hybrid location flexibility
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of mouse model, human cell cultures, and immune profiling. This work is based in part on the findings of a recent publication from the lab on the role of NETosis in the development of CRS. https
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and statistical modeling for reliable analysis on spatial multiomic data. The candidate will work on both probabilistic modeling, software development, and cancer biology analysis for this position
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components; patient care, education and research that together enhance our contribution to society. Required Qualifications* PhD in bioinformatics, computational biology, systems biology, statistics, physics