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FLAME-GPU accelerated agent-based modelling of material response to environmental and operational loading EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce
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microscopy) Flow cytometry Mammalian cell culture (cell models, including iPSC-derived cell lines) Lysosomal immunoprecipitation for multi-omics analysis Chemical synthesis Integration of biochemical, cellular
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diet and microbiota in animal models of zootechnical relevance, with the goal of generating knowledge to support the development of dietary and nutritional strategies that promote animal health and
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Assistant Director, Treasury Planning (Hybrid) - Financial Services - Treasury Planning & Operations
, modeling, issuance, compliance, credit strategy, and management of the Internal Bank. Treasury maintains a collaborative and productive relationship with the WashU Investment Management Company (“WashU IMC
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all year round Details This PhD project will start by exploring the current state-of-the-art hybrid magnetohydrodynamic (MHD) particle beam flare models of Ruan et al. (2020), and Druett et al. (2023
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, philanthropic interests, and estimated giving capacity Develop statistical models and reports in collaboration with analysts and consultants to support effective prospect identification and provide insights
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meteorological data Numerical oceanographic modeling Development of a warning system for extreme sea levels Analysis of results, writing scientific papers Where to apply E-mail teodora.rogosic@unist.hr
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staff position within a Research Infrastructure? No Offer Description Job Description: Conducting research and scientific management of the entire project Design and modeling of new materials Work with
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collected from these studies, subject recruitment, and some administrative work. Depending on qualifications/interest, the research specialist may also assist with developing computational models of learning
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome