51 phd-position-in-database-modeling Postdoctoral positions at Carnegie Mellon University
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understanding of placental development through the integration of computational modeling and clinical imaging data within the Biomedical Flows Simulation and Multiscale Modeling (BioSiMM) Lab. Core
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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration From creative writing
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. Proficiency in CAD/CAM and finite-element modeling is required, alongside disciplined verification/validation practices and the ability to translate prototypes into reliable, user-ready systems. Demonstrated
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Mellon University is looking for a talented postdoctoral research associate to work on projects related to the role of RNA molecules in regulating transcription and biomolecular condensates. PhD or MD
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generating human language in both written and spoken forms. We are seeking a Postdoctoral Research Associate. This position conducts a broad range of activities in the development and analysis of commercial
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Research Scientist specializing in environmental chemistry and/or nanochemistry This position is a great opportunity to develop necessary skills for a future faculty position. The position is for a minimum
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scales through component-based parallelism. The focus of the post-doc position is to design and implement this pipeline -- developing native reasoning for rich combinatorial constraints, creating tools
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their work. Qualifications: PhD in Electrical and Computer Engineering, Biomedical Engineering, Mechanical Engineering or a related field. A combination of education and relevant experience from which
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seeks applicants to fill the position of Post Doctoral Fellow in the Computer Science Department. The G-CLef Lab at CMU is hiring one postdoctoral scholar to pursue research on multimodal AI
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stakeholders Design and implement evaluations of innovative programs Data analyses and modeling using Python/R/or similar programming languages Co-author research papers on the results of student learning