120 machine-learning-and-computational-biology-research-group Postdoctoral positions at The Ohio State University
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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expected to attend group meetings and seminars, design and carry out laboratory experiments, interpret data, and write up results for publication. Qualifications Requires a Ph.D. in Chemistry or Biochemistry
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and Sciences | Physics Administration Post Doctoral Scholar will carry out a vigorous program of independent research, write papers for refereed publication, travel to conferences and other venues
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| Mechanical and Aerospace Engineering Perform basic research in computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects. Emphasis to be placed
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Doctoral Scholar to pursue continued research experience and training within the Department of Neuroscience; conducts independent research under the guidance of his/her scientific mentor to investigate
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neuroscience research, cell and molecular biology, or cancer biology. Additional Qualifications Considered Experience in neural stem cell, cancer biology, signal transduction, metabolism, autophagy, glia cells
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the implementation of machine learning/AI methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have the opportunity to lead research projects, write
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microbiology, immunology, and cell biology research techniques and procedures including microscopy imaging; develops, adopts and implements new laboratory methods; analyzes and interprets data; writes research
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supporting documentation via Workday with their application, including: Cover letter describing your research background, fit for the AquOTic program, including comfort in water-based environments, research
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Develops and conduct original research with a focus on basic and translational NIH and Industry sponsored studies on womens health related to the impact of diabetes and hyperglycemic memory in innate immune