18 software-defined-network-postdoc Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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data assembly, software interfacing, test design, statistical analysis, and results reporting. The role will also involve planning and managing project activities, building research skills and networks
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discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation, computational mechanics). Evidence of scientific programming and good software/reproducibility
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for spatiotemporal data (e.g., CNNs, LSTMs, Transformers, or Graph Neural Networks). Hybrid modeling: Experience with physics-informed machine learning or the integration of ML with data assimilation/multivariate
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immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead studies on cytotoxic T cell mechanisms, oversee preclinical validation, and advance
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developing bespoke electromagnetic simulation software and/or using commercial software including COMSOL Multiphysics and Ansys Lumerical using high-performance computing resources. Experience with machine
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and growing Department with a concentration of scholars researching related themes in the Public Opinion Research Network and the Gender and Inequalities Centre. To be successful you will have completed
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. Deliver high-quality measurements of plant physiology and growth under defined environmental and acoustic conditions. Lead below-ground sampling and analyses, including root phenotyping/architecture
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preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead studies on cytotoxic T
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stress-response programmes across model crops. Deliver high-quality measurements of plant physiology and growth under defined environmental and acoustic conditions. Lead below-ground sampling and analyses
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to net‑zero carbon emissions. The project examines how future technologies, propulsion concepts, fuels, operational changes and behavioural shifts can together deliver more sustainable aviation. In