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and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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International. The candidate will develop a new tool that Fidelity will adopt to provide targeted support for its customers to fill the financial advice gap. Responsibilities include data analysis, developing
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Position Details Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting
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application please click the apply button below. Applications quoting reference number 2501167 will close on Sunday, 17 August 2025. Additional Information Position details: Information Statement Guidelines
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environments to evaluate model accuracy, false-positive rates, and real-time system responsiveness. Collaborate closely with international renowned biologists, aquaculture domain experts, sensor engineers, and
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University of Applied Sciences, has a vacancy for a research fellow (PhD position) in mathematical modeling and simulation of surface water flow for 3 years. The PhD research fellow will be part of the PhD
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
advertisement About the position Position as PhD Research Fellow in Chemistry with focus on Experiments in Chemical Kinetics and Heterogeneous Catalysis is available at the Centre for Materials Science and
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prediction models in Neurology using EEG data via Deep Learning (DL) techniques. In this prospective and longitudinal study, the outcome of interest is cognition over time. This position will be under
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language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation. Background in Generative AI research, including multi-modal LLMs. Background in AI