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Field
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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will develop a novel modelling framework that translates climate signals to support cost-optimal long-term investment decisions, while also considering operational feasibility. The successful candidate
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our team focused on advancing kidney gene therapy. The project integrates in vitro, ex vivo, and in vivo experimental approaches using both porcine and human models. Appointment Details · Start
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optimization. Focus on AI-assisted secure IC design, with domain adapted LLM, ML in front-end design, simulation tools for chiplet-based/oriented prototypes Investigate and apply AI principles for IC design, RTL
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the harnessing and optimizing of T cell function for cancer immunotherapy using genetically modified mouse models, flow cytometry, q-PCR, RNA-seq, western blot, single cell RNA seq, bioinformatics, and
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a
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, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary thinking
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
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trials, analyze data, and publish findings in high-impact journals. The role requires active participation in an interdisciplinary team to evaluate and optimize integrated soil fertility management