39 optimization-mathematical "https:" Postdoctoral positions at The Ohio State University
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(https://aihub.osu.edu ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and
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supported by NIH and other extramural funding agencies. Develop, optimize, and troubleshoot new experimental techniques and protocols. Participate in research seminars, journal clubs, and collaborative
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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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fields) or PhD in statistics, mathematics, or computer science (or related fields) with experience developing or using computational infectious disease models. Required Experience: Experience coding and
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refinement of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model systems. Technical
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community.Together, we’ll create meaningful impact at a scale few others can match. Connections working at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/22120535/post-doctoral
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, the team ensures robust study implementation, optimized participant recruitment and follow up, exceptional intervention fidelity, and precise data management. Additional responsibilities include preparing
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Join Ohio State’s community.Together, we’ll create meaningful impact at a scale few others can match. Connections working at The Ohio State University More Jobs from This Employer https
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at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/22078646/post-doctoral-scholar Return to Search Results
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. The duties and responsibilities for this position will be to: 1) Analyze data with the STAR/LHCb experiments. 2) Contribute to the EIC physics program and the optimization of the EPIC backward HCAL project