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Engineering is looking for a Research Fellow who will research the formation of various types of pollen. The successful candidate will perform fabrication, characterization, and optimization of pollen and its
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heterogeneity of their environments. For more details, please view https://idmxs.org/ . Key Responsibilities: Design, prototype, and optimize passive microfluidic cartridges integrating plasma-separation
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. Scale and optimize fabrication and cryogenic testing workflows. Characterize detector and system performance, including detection efficiency, dark count rate, timing jitter, and yield. Develop packaging
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optimized for single-molecule mechanical manipulation. Develop, refine, and implement automated data analysis pipelines using Igor Pro (or MATLAB, Python). Mentor graduate and undergraduate students within
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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include, but is not limited to, UHPC material design and optimization, durability testing under harsh environmental conditions, fabrication and full-scale structural testing of sleepers under static and
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antibiotic activity against clinically relevant bacterial pathogens, optimizing in vitro assays, and assessing lead compounds in preclinical infection models. A major focus will be developing and applying in
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Performed: • Design, plan, and conduct independent research projects. • Perform and optimize molecular, cellular, and immunological experiments. • Analyze, interpret, and present experimental data. • Prepare
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optimize molecular, cellular, and immunological experiments. • Analyze, interpret, and present experimental data. • Prepare manuscripts, figures, presentations, and assist with grant applications. • Develop
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in the development and optimization of quantum technology and quantum photonics systems. Job Requirements: PhD in Electrical Engineering or Quantum Engineering. Familiarity with quantum technologies