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Field
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experiment, as well as in the commissioning, optimization, and development of analyses for the ALPHA experiment. The candidate is also expected to take a leadership role in JHU-based testing toward
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
conditions are particularly vulnerable, as their habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
conditions are particularly vulnerable, as their habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management
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extended to 2 years. The primary focus of this research will be focused on optimization of multimodal treatment of pancreatic cancer (clinical outcome research). In this role, you will be expected to work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading public
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: Conduct experimental research to advance the understanding of thin film deposition processes using PVD techniques such as magnetron sputtering Optimize deposition parameters to achieve desired thin film
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synthesize high-quality perovskite materials tailored for photovoltaic applications, ensuring optimized properties for solar cell performance. Thin-Film Deposition using various deposition techniques such as
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into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze
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or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation strategies. These projects aim to integrate epidemiology
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to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement