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Field
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. Experience leading investigations linking simulations to observational data. Experience with statistical characterization of data, preferably within a Bayesian framework. Job Description: A Post-doctoral
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. Performance Objectives 50%: Performs research, teaching, and/or service in coordination with the John Glenn College of Public Affairs. Collaborates with faculty members, researchers, and students on research
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causal GRNs across millions of cells and tens of thousands of genes. Design robust objective metrics for evaluating methods and benchmarking against existing approaches. Demonstrate the unique capacity
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the project's objectives and contributing to the development of innovative biomanufacturing technologies. Responsibilities of Position: Design and analyze complex bioprocesses using process simulation software
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learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded
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fungi strains with whitefly and thrips biocontrol, and the postdoc is expected to get involved in these projects as opportunity arises. Besides the required objectives outlined above, the postdoctoral
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of Structural and Infrastructure Systems (RAMSIS) lab at Ohio State University, under the mentorship of Professor Abdollah Shafieezadeh. The candidate will have an important role in driving our core objective of
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H. Dyson School of Applied Economics and Management. The intended start date for this position is October 1, 2025. This position is a 12-month, non-tenure track, position with an initial appointment
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fundamental questions and translational applications. Designs and executes research objectives while contributing to collaborative projects within the lab. What you need to know Salary: Will be commensurate
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statistical significance. The postdoc will be responsible for analyzing large datasets and for maintaining a detailed electronic lab notebook. They will prepare technical reports for internal tracking and