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, and Massachusetts Institute of Technology (MIT). The candidate must have a PhD in Biomedical Sciences, Biological/Biomedical Engineering, Molecular/Cell Biology, Synthetic Biology, or a related
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the year. You are welcome to also apply to other opportunities offered at specific offices through the DOE Scholars Program. Are you ready to make an impact on the future of energy, environmental sciences
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 days ago
to decouple the energy levels corresponding to the defect’s different orientations. A simpler configuration is offered by the silicon vacancy in SiC, which possesses only one orientation. This makes
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relationships in molecular solids, porous materials, pharmaceuticals, organic materials, and energy-related materials. The successful candidate must hold a PhD in Chemistry, Materials Science, Chemical
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cross-validation. Prof. Shafique’s lab has many-years of R&D experience in cross-layer design and optimization for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems
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expertise in advanced MIP microspectroscopy and its application in cell and environmental studies Participate in method development of quantitative MIP protocols for determination of the target molecule mass
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to make valuable contributions to research in single junction and tandem solar cells Base Salary Academic Level A $113,400 - $121,054 p.a or Academic Level B $127,436 - $141,774 p.a. + 17% superannuation
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activities Build strong working relationships with PIs, researchers, technicians, and external collaborators Implement strategies to ensure timely completion Generate scientific proposals to resolve key
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, or 3D cell culture models. Experience with in vivo imaging. Competencies and Skills: We value not only technical expertise but also the demonstration of core competencies such as Communication, Teamwork
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, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning