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alongside a team of well qualified predoctoral fellows. Apply and advance econometric methods. Propose new projects and develop grant proposals. This position is ideal for an applicant with a deferred
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technology and engineering, data modeling, national surveys and epidemiological research. Compensation and Benefits This Postdoctoral Research Fellowship position includes: Annual compensation based on levels
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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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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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letter of recommendation. Questions about the position can be sent to the PI (Dr. Kristina Smiley) at kosmiley@umich.edu. Job Summary The Smiley Lab at the University of Michigan is seeking a motivated and
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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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). The position provides a salary of $62,232-$65,000 per year (a higher salary may be offered based on the selected candidate's experience) and is benefits-eligible. The initial appointment is for one year, with
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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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Apply Now How to Apply "A cover letter is required for consideration for this position and should be attached as the first page of your curriculum vitae (uploaded as a single PDF). In your cover
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this position and how you learned about it The start and end dates during which you would be available to fill this position Your familiarity with programming languages (e.g. Stata, Python, R) Your prior