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fabrication facilities Access to the Center for Nanoscale Materials (CNM) Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in physics, electrical engineering, materials
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candidate will contribute to cutting-edge research on the modeling, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless
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of the microbial ecology results in mineralized environment in the petrology and thermodynamic modeling components of the project. This project involves 6 (teachers)-researchers and research engineers from
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environment at the University of Oxford. The programme integrates patient stratification using cerebrospinal fluid biomarkers, patient-derived induced pluripotent stem cell (iPSC) models, and pharmacological
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computational approaches, chemometrics, and model building for data fusion; Motivation to take ownership and independently tackle solutions to scientific challenges; Willingness to collaborate with and mentor PhD
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modeling and characterization for communication and sensing in emerging spectrum for 6G and beyond, with a focus on the FR3, THz and optical frequency bands. This research will be conducted under the joint
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in hand by the start of the appointment. Candidates must have received their PhD or foreign equivalent within the past 2 years to be eligible for this early-stage postdoctoral training position
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genomics. The successful candidate will work on developing novel AI models that (i) integrate thousands of genome assemblies and multimodal biological datasets to uncover the genomic determinants of species
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biology, and mechanisms of drug resistance. Research activities will utilize a combination of in vitro approaches, including cultured cell models, and in vivo experimental systems using animal models
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Description Are you excited about using large-scale AI to accelerate scientific discovery? Join a Horizon Europe project developing next-generation scientific foundation models that combine knowledge graphs