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Field
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: Holders of a Master's degree in Mechanical Engineering or related areas who are PhD students in Sustainable Product and Process Engineering. . DURATION: 12 months, eventually renewable. The fellowship is
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of Alabama and beyond. The successful candidate will apply tools including (but not limited to) Data Acquisitions, Data Mining, Data Visualization, Machine Learning, Statistics, Optimization and Simulation in
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in the development, validation, and optimization of 3D-printed Ship Hull and Connector System. This includes conducting finite element modeling, ship resistance and stability assessments, as
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characterize plasma process equipment. Familiar with COMSOL software to simulate the influence of magnetic field on plasma flow. Conducts various design simulations to refine processes. Optimize vacuum coating
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and provide feedback for optimization of therapeutic delivery. These research programs involve both in vitro and in vivo animal studies. The postdoctoral fellow will collaborate with basic scientists
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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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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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do: Design, fabricate, characterize, and optimize electrochemical biosensing technologies for real-time detection. Develop and implement novel surface chemistries to improve sensor performance
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at the forefront of plasma processing and surface engineering. Key Responsibilities: Lead the design, optimization, and scale-up of PVD and CVD plasma-based processes, with an emphasis on high-performance composite
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robust biologically optimized Radiation Therapy to mitigate patient radiosensitivity uncertainty. 1) transfer of matRad code to a GPU computer for rapid simulation of biologically optimized treatment plans