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Field
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includes techniques such as reliability-aware mapping and optimization techniques as well as high-quality, and cost-effective mitigation schemes that can guarantee efficient and reliable operation. The
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reliability-aware mapping and optimization techniques as well as high-quality, and cost-effective mitigation schemes that can guarantee efficient and reliable memristor-based CIM operation for AI workloads
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variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor interoperability, and process experimental
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on the development of materials and processes and is divided into two axes. The first axis aims to improve the most promising state of the art cell materials by optimizing their compositions, microstructures and
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. ● Method Development: Develop and optimize analytical protocols for the detection of emerging contaminants, including both target and non-target analyses using LC-MS/MS, LC-HRMS, and GC-MS/MS
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Job Title: ARC_AIR - Postdoctoral Researcher in Renewable Energy Systems, Water Harvesting Technologies, Condensation and Sorption Processes Number of positions: 2 About UM6P: Located in the heart
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be on creating and optimizing state-of-charge (SOC) and state-of-health (SOH
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modifications, including phosphorylations, hydroxylations, and glycosylations. We apply and develop ultra-high throughput screening technologies to facilitate efficient optimization of the enzymes and products
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technologies to facilitate efficient optimization of the enzymes and products. The applications of this research span enzyme technologies to functional biomaterials. Scientific environment The Department