82 parallel-computing-numerical-methods "Multiple" Postdoctoral positions at The Ohio State University
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| Radiology Position Overview: We are seeking a highly-motivated postdoctoral scholar to contribute to the development and clinical translation of advanced MRI methods for women’s imaging. The ideal candidate
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. While in the Hummon research group, this candidate will embark on a program of independent research with the primary goal to develop mass spectrometry methods in proteomics, metabolomics, and imaging
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environment with standard laboratory conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples
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learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health
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-based mental health, practitioner capacity building, and community-engaged evaluation. This position is situated within CETEs Excellence in Engagement, and Evaluation (EEE) program area. The postdoctoral
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or experience in health psychology. Desired Skills Research methods/design Basic statistical analyses Cognitive-behavioral therapy knowledge or experience Acceptance and commitment therapy knowledge or experience
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immune activation, cytotoxicity, and persistence. Additional methods may involve CRISPR-based perturbations, viral vector engineering, and immune cell manufacturing workflows relevant to CAR-based
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, including undergraduate and graduate students, to work on project(s) undertaken; work with and coordinate collaborating research staff, providing input on methods and procedures necessary to achieve desired
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bonds. The Post Doctoral Scholar will embark on a program of independent research with the primary goal to determine how efficient synthetic methods for preparing organic molecules. Duties will include
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, with an emphasis on Acute Myeloid Leukemia (AML). The successful candidate will apply advanced computational and statistical approaches to integrate and analyze multi-omics and single-cell datasets in