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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
in malaria biology, molecular epidemiology, genomics, immunology, or global infectious diseases. * Experience integrating multi-omic datasets, including transcriptomics, metabolomics, lipidomics
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biological data are increasingly common in modern biomedical research but remain challenging to analyse because of their scale, heterogeneity, and complex spatial and functional dependencies. Existing methods
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Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale . If you do not have letter grades from previous studies, you must have an equally good academic
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simulations with physics-informed surrogate models, and integrating multi-scale geospatial data to improve generalisation. Number Of Awards One Start Date 18th January 2027 Award Duration 4 Years Application
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on the matter. You are a responsible and independent researcher, but also a team player that thrives being part of a larger, collaborative and multi-disciplinary team. You are creative, constructive and open to
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new theoretical approaches for understanding stability, generalization, and feature learning in large-scale neural networks. Further details and application instructions are available at: https
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ARDITI - Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação | Portugal | 2 months ago
Law no. 7/2009 of February 12, in its current version. 3. Jury Composition • President: Caroline Ferreira (OOM) • Effective Member: Carlos Lucas (OOM) • Effective Member: Filipe Alves (MARE-Madeira
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Professor Wensu Chen on his Australian Research Council Future Fellowship project regarding “Multi-hazard resilient hybrid modular structures” along with Professor Hong Hao. This project aims to develop multi
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that this modification by PCN also changes the composition of host root exudates, producing products that deter infection from other pathogens that may threaten the viability of the host. Similarly, PCN may not perceive
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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence