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for modeling materials to be printed. - Formulation and DLP printing of GelMA materials loaded with MIL-100 and SBA-15. Optimization of formulation parameters (GelMA concentration, inorganic particle loading
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bioenergetic parameters, the level of reactive oxygen species, the level of oxidative damage, calcium homeostasis and lipid metabolism in cells derived from patients with PACS2 Syndrome. The primary goal is to
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Experience developing pipelines and code for gravitational-wave searches and/or parameter estimation Knowledge of advanced Bayesian methods and samplers, machine learning approaches to signal processing
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Application deadline: 30.04.2026 Estimated date of the contest settlement: May 2026 Envisaged job starting date: tbd Period of employment: 24 months The competition is open to each candidate who meets
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treatment strategies combining both materials, with particular attention to synergistic and symbiotic effects; Study process parameters affecting the recovery of sulfur, magnesium, potassium, and other
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
parameter studies or optimization within existing NASA frameworks Preparing technical reports and publications for internal review and peer-reviewed journals Presenting research findings at conferences and
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, with a particular focus on predicting nuclear magnetic resonance (NMR) parameters and using these predictions to inform structural models. The successful candidate will parameterise and validate machine
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tap density and material quality. Develop an advanced optimization and sensitivity analysis framework for accurate parameter estimation. Produce research publications in high-impact journals and
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optimising membrane parameters. Laboratory experience in analytical techniques related to materials characterization and membrane processes application. Knowledge in environmental sampling and the impact of
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effects; Study process parameters affecting the recovery of sulfur, magnesium, potassium, and other valuable elements; Analyze, interpret, and synthesize experimental results to support process optimization