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@ncl.ac.uk To apply, please complete an online application, upload a CV and a cover letter. Your cover letter should be a detailed supporting statement outlining why you are a good fit for the role. Please
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social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences stress, anxiety
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of productive and creative research, demonstrated by presentations at scientific conferences Experience in developing system-scale models of water treatment technologies Experience constructing datasets required
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undertaking a comprehensive, three-year mixed-methods evaluation. The evaluation will include a match group trial, as well as qualitative interviews to map the service ‘ecosystem’ in which Pathfinder sits. As
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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level of detail extracted from these experiments. As part of this role, you will work closely with other researchers to translate these experimental results into our numerical models, helping to improve
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities
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. The research group is seeking a talented Doctoral Researcher in nonlinear systems and control with strong interest in nonlinear stability theory, modeling & identification, optimal control, certifiably safe