67 parallel-computing-numerical-methods Postdoctoral positions at The Ohio State University
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: Medicine | IM Hematology This NIH-funded program provides multidisciplinary training across the full spectrum of cancer prevention and control, including cancer risk, epidemiology (such as tobacco-related
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on large-scale genetic data analysis, risk prediction, single-cell RNAseq, and implementation of methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have
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Materials Science Engineering, Electrical and Computer Engineering or Physics Required Experience: Growth and characterization of thin films; Micro- and nano-fabrication; Magneto-transport Desired Experience
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Drs. Arnold and/or Barterian) Structure of Training Program The fellow will spend 3 days in the ADHD clinic providing assessment and individual therapy services and 1 day in chosen secondary rotation
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) undertaken; work with and coordinate collaborating research staff and provide input on research methods and procedures necessary to achieve desired goals; advise undergraduate and graduate students in
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| Neurology We are seeking a Postdoc with strong bioinformatics/computational biology skills to join our team, the Harari Lab. Our mission is to further the understanding of Alzheimer’s Disease and Related
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; write progress reports and summarizes results; instructs others in methods and instruments; assist in preparation and writing of grant applications and manuscripts; assist in mouse colony management and
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and mammalian cells as well as in protein and RNA purification methods. The position also requires participating in weekly meetings with the supervisor, submitting biweekly progress reports, attending
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interested in candidates who have strong skills in quantitative methods, causal research designs, and have experience working with large administrative datasets. We desire applicants with the potential
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are particularly interested in candidates who have strong skills in quantitative methods, causal research designs, and have experience working with large administrative datasets. We desire applicants with