72 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at The Ohio State University
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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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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
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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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biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments
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expertise in educational and social science research methods, with a strong background in quantitative and/or qualitative analysis. Show evidence of experience in survey research, instrument development, and
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methods, prospective cohort studies, clinical trials including single site pilots and large-scale multi-site clinical trials, and implementation science including implementation trials. An existing cancer
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activation, cytotoxicity, and persistence. Additional methods may involve CRISPR-based perturbations, viral vector engineering, and immune cell manufacturing workflows relevant to CAR-based therapies. In vivo
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is seeking a postdoctoral researcher with interests in Childcare Access and Quality; Data and Statistical Methods; and/or Child Development more broadly. The successful candidate will work with an
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to evaluate immune activation, cytotoxicity, and persistence. Additional methods may involve CRISPR-based perturbations, viral vector engineering, and immune cell manufacturing workflows relevant to CAR-based