14 postdoctoral-position-in-molecular-dynamic-simulation PhD positions at Trinity College Dublin in Ireland
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eligible for EU fees Post Summary The Department of Civil, Structural and Environmental Engineering at Trinity College Dublin (TCD) are seeking a PhD student in Structural Dynamics examine the design of
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to understand microbial interactions and optimize biogas production. This PhD position offers a unique opportunity to work in a multidisciplinary team under the supervision of Professor Muhammad Ali (TCD) and Dr
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Molecular Rheumatology, Trinity Biomedical Sciences Institute, TCD (https://rheumatologytcd.com) is seeking to appoint a PhD student to perform research focused on identifying molecular pathways
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research is dedicated to improving the diagnosis and treatment of fungal infections. Additionally, we explore the biology of these infections, as well as the molecular mechanisms behind stress and antifungal
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of contributions from various sources such as plants and soil microbes. In this position were seeking a candidate interested in soil ecology, root traits and fieldwork and linking this with automated ‘minirhizotron
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, flexibility becomes an essential feature, driven by the development of flexible components and open networks. Development of Digital Twins, capable of building dynamic models from information gathered form live
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cells. This is a great opportunity to pursue cutting edge immunology research in the context of infection, in a dynamic and supportive research environment which has a record of training stellar PhD
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the human-pathogen arms race play out in real-time. One post will focus on human demography and adaptation, reconstructing how population dynamics and natural selection have shaped genomic variation in
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for structural variants and copy number variants (SVs/CNVs), will be used to optimize data analysis and variant discovery. The project will focus on identifying previously overlooked pathogenic variants, exploring
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. Unlike traditional architectures with static power allocation, disaggregated RANs allow for dynamic scaling and flexible placement of network functions, which significantly impacts power consumption