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frameworks (MOFs) and their composites using sustainable alternatives, such as waste and industrial by-products. The synthesized materials will subsequently be applied in catalysis and adsorption in large
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, funded by the prestigious European Research Council (ERC-2022-STG #101077370), seeks to understand receptor-mediated transport across the BBB and develop new strategies to deliver large therapeutics
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forms part of a large multi-institution collaborative project entitled Next Generation Electrodes (Nextrode) funded by the UK’s Faraday Institution. The appointed person will collaborate with other
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Glimpse of the Job Join us at the Texas A&M School of Veterinary Medicine & Biomedical Sciences (VMBS) as a Postdoctoral Research Associate! In this role, you'll conduct impactful research, analyze data
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convolutional neural networks (CNNs) and large language models (LLMs) to analyze retinal and corneal data including visual fields, fundus photographs, optical coherence tomography (OCT) images and genetics data
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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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initiatives in blockchain data collection and management. The position focuses on developing innovative solutions for large-scale blockchain data analytics and management systems. Key Responsibilities Lead
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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data. Publish research results in high impact journals. Collaborate with other UM6P researchers/groups on multidisciplinary research projects related to the field. Development and implementation
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the EU project Shift2SDV, a large collaborative effort involving 81 partners across Europe. At DTU, the project offers a focused research scope with room for academic exploration. This position focuses