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, troubleshoot and optimize research methods and techniques as needed. Independently reproduce, evaluate, research, and improve techniques currently used. Maintain accurate and detailed records of all laboratory
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. The goal is to create a design guide for municipalities and consultants, based on findings from the Chalmers Gårda raingarden pilot , to effectively treat polluted stormwater. The study will identify optimal
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, and medicine. Key Responsibilities Collaborate with researchers to design, develop, and refine large language and generative models. Develop novel algorithms for generative modeling tasks and optimize
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albuminuria levels. Risk-based clinical decision support: Developing tools and frameworks to guide decisions using individualized risk prediction metrics to optimize patient care. Identifying and addressing
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optimizing electrolyte systems (including hybrid solvents, functional additives, and water-in-salt electrolytes), and investigating the electrochemical performances of designed aqueous batteries. The main
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, responsibility, and the chance to build something new About the role The postdoc will establish and optimize the auxin-induced degradation (AID) system in C. elegans to enable precise temporal control over ciliary
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a computational materials design team screening and developing biobased monomers, synthesizing samples, optimizing formulations, and characterizing properties. Candidates will collaborate with a large
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. Strong practical skills in high-performance computing (HPC) environments, including job scheduling and performance optimization on computing clusters. Knowledge of Bayesian statistics and its applications
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. Developing a software tool for defining and optimizing the geometry of the X-ray spectrometer. Supporting work related to developing the concept of the planned instrument and modeling its spectral response
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protection solutions. Key Responsibilities Conduct in vitro and in vivo screening of microalgae strains for their antagonistic activity against major legume pathogens. Develop and optimize laboratory assays