75 scholarship-phd-agent-based-modelling Postdoctoral positions at The Ohio State University
Sort by
Refine Your Search
-
related field Required Experience: 1 year of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields Desired Experience: 3 years of prior research
-
-for-purpose modeling efforts. MINIMUM QUALIFICATIONS: PharmD or PhD in pharmacology, statistics, engineering, or related field; specific training, experiences, and a demonstrated track record in applying PK/PD
-
related field Required Experience: 1 year of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields Desired Experience: 3 years of prior research
-
, University of Maryland, and Stroud Water Research Center in the areas of hydrologic and biogeochemical Modeling and water quality remote sensing. The postdoc will contribute to research activities of a NASA
-
, in vitro splicing and mouse models serve as systems in which to study the mechanism for alternative splicing as well as the biological endpoints of the pathways. The laboratory's approaches include
-
related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional Information: Location: CBEC (0248
-
informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based modeling. A strong publication record in top-tier venues (e.g., MICCAI, CVPR
-
malignancies with a primary focus on lung cancer. The lab has established the use of multiple high-throughput screening technologies, genomics, proteomics, epigenetics, clinical samples, and animal models
-
prior project to the HAMMER ERC’s ANSYS-based Human Chewing Model based on clinical CT-scans collected from the OSU Medical Center’s Honest Broker and IRB system. This person will use ASTM standards
-
role in advancing our mission to develop next-generation digital twin frameworks that integrate physics-based modeling, data-driven inference, and real-time monitoring to support robust lifecycle