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heart regeneration. Your profile PhD and a strong publication record in vascular biology & bioengineering, computational biology, or cardiac/developmental biology and disease modeling. Extensive molecular
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 5 days ago
the Inria Manao team in Bordeaux. As part of the “CMN Numérique” program, which aims to standardize the production of 3D models and reuse them in various contexts (mediation, maintenance, research, etc
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/Online. A project at the Composites Lab is characterized by the amalgamation of experimental and computational/modeling mechanics and encompasses people with very different backgrounds to ensure we capture
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device modeling such as memristors and ferroelectric FETs such as with Verilog-A. Minimum Qualifications: Requires a minimum of a Ph.D. or equivalent terminal degree in electrical engineering, computer
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-year postdoctoral research position at the Rollins School of Public Health (RSPH), Emory University in Atlanta, GA. This individual will join a collaborative NIH-funded research program focused
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with process-based models, including APEX, SWAT, EPIC, DayCent, or DNDC. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and
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-relevant research related to aspects of the Medicare program, including payment policy, risk adjustment, and competition. Experience working with Medicare claims data, a deep understanding of econometrics
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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Models" at the German Cancer Reserch Center is seeking for the next possible date a Postdoctoral Researcher in Translational Control & Cancer-Microbiome Interactions Reference number: 2025-0311 The Junior
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valued. · Knowledge of chemical reactions and how to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials