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closely with our faculty to implement simulated results in the clinic and develop novel treatment methods. 3-Data Management & Analysis Manages and analyzes vast datasets related to radiation treatments
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analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and safeguards University assets
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sampling, analytical methods such as GC-MS, LC-MS, or other relevant instrumentation. Experience in olfactory system research is highly desirable. Background in experimental design, data analysis
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of metabolic diseases. We employ untargeted and targeted metabolomic analysis and isotope tracing studies using newly vested in-house Thermo Exploris 480 LC/MS instrument. Along with this powerful analytical
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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
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. Candidates must be able to independently plan, multi-task and complete projects. Ideally, the fellow will be expected to design and execute experiments, analyze data, write and prepare independent grant
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analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and safeguards University assets
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separation, or membrane processes. Strong knowledge of ion transport mechanisms and membrane behavior. Familiarity with analytical tools Skilled in setting up experimental systems and troubleshooting
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Description: Design and Implement Hybrid Data Architecture: Evaluate, configure, and manage cloud-native data warehouses for scalable spatial analytics Design data flows from warehouse to spatial databases
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communities, such as the human gut microbiome. This role will use a combination of microbiological, genetic and analytical techniques to isolate and engineer bacteria for use as next-generation probiotics