66 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at The Ohio State University in United States
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University studying microbial ecology of glacier and permafrost environments. The Post Doctoral Scholar will embark on a program of independent research with the primary goal of determining how microorganisms
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instrumentation. It involves supervising the research of graduate students and REU’s, conceiving, composing, writing and editing research proposals, scientific papers and research reports. Required Education: PhD
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ensures return to editorial staff or journal for timely publication, composes and presents research at conferences; directs research personnel. Minimum Education/Experience Requirements: PhD or MD/PhD
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Center Department: Pharmacy | Pharmaceutics and Pharmacology The Pharmacoanalytical Shared Resource (PhASR) seeks a postdoctoral scholar to learn and apply pharmacometrics methodologies in cancer-focused
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biochemistry is preferred. Experience in RNA processing is desirable. Candidates should have a Ph.D. or MD/PhD in cell biology, cancer biology, molecular biology, or biochemistry. Knowledge and expertise in
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undertaken. Minimum Required Qualifications: Ph.D. in wildlife management, biology/ecology, ecosystem or environmental science, or a related discipline At least 1 year post-PhD degree with experience
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learning outcomes and instructional practices. The position supports a collaborative research initiative led by faculty and staff from the College of Arts and Sciences and the College of Education and Human
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: PhD in social science, data science, computer science, information systems, environmental science, ecology, or related field. Demonstrated ability to conduct independent research, as evidenced by peer
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, and therapeutic response and resistance and to translate these findings to improve patient outcomes. The overall goal of this research program—spanning basic mechanistic discoveries, application of high
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of this research program—spanning basic mechanistic discoveries, application of high-throughput technologies, validation in cancer-relevant mouse models, and translation platforms—is to understand the fundamental