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state‑of‑the‑art structure prediction and design frameworks, training/fine‑tuning models, and running scalable computational campaigns. Key responsibilities Design and execute in silico protein and
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https://www.nist.gov/programs-projects/pipeline-safety to learn more about our facilities and current research. Radiation; Metallurgy; Materials science; NDE; Modeling; Fracture; Fatigue; Corrosion
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. - Conduct high-throughput serum proteomic analyses and integrate molecular datasets. - Validate candidate biomarkers in independent cohorts. WP3.2 – Integrated predictive modeling: - Develop integrative multi
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 25 days ago
on bubble coalescence using innovative multicolour thin-film interferometry # Evaluate synergistic effects between ions in recycled water and added frothing agents, and determine film lifetimes for model
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
algorithms, data models, ontologies, and semantic data harmonization and integration strategies for a variety of translational research contexts, including the following data types: clinical research variables
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: Translates functional requirements into application layout and interface (including interaction models, workflows, information architectures, flowcharts and screen mockups). Interpretation: Excel in
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inviting dynamic young scientists, capable of theoretical fracture mechanics and related modeling techniques, to join our team to probe cutting edge issues in fatigue and fracture. Some examples of research
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for the incumbent to successfully fulfill his/her job duties. Functional Requirements: Translates functional requirements into application layout and interface (including interaction models, workflows, information
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modeling, photovoltaics, high-temperature experimentation, and solar energy technologies. Thermophotovoltaic (TPV) systems convert thermal radiation emitted by a hot surface into electricity using lowbandgap
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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel