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Field
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molecular, cellular, biochemical and immunological analyses. · Optimize and troubleshoot experimental protocols and equipment. · Design, execute and document experiments with sufficient detail to understand
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other collaborators for the development and optimization of experimental process; 2) analyze collected data with Argonne’s EverBatt model to estimate associated cost and environmental impacts; 3) write
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. The successful candidate will work on the development and integration of battery energy storage systems, develop control methodologies for the optimal operation of battery energy storage systems for critical
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Institute of Microbiology is looking for an individual that investigates powdery mildew resistance in hemp. Furthermore, the individual will also optimize a hemp transformation and genome editing platform
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of Cyanobacteria and carrying out experiments with those bacteria, as well as flow cytometric analysis. Key Responsibilities: Develop and optimize extraction methods for recovering ultra-long, high molecular weight
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). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge of interpretability methods to ensure ML outputs are meaningful in scientific
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generation proteomic analyses Build and optimize proteomic pipelines for neurodegenerative disease biological subtyping Perform genetic, epigenetic and protein biomarker analyses including a range of molecular
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. Proficiency in Python programming and major ML/DL frameworks (e.g., PyTorch, TensorFlow). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge
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highly collaborative team of researchers, who are tightly integrated within IGI's Berkeley Initiative for Optimized Microbiome Editing (BIOME). Projects will focus on characterizing model microbiomes using
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. The postdoctoral research fellow will be responsible for assisting externally-funded research programs at UD related to the thermomechanical design, manufacturing, and experimental optimization of high-temperature