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5 Feb 2026 Job Information Organisation/Company Chiba University Research Field Astronomy Chemistry Mathematics Physics Geosciences Researcher Profile Recognised Researcher (R2) Application Deadline 20 Feb 2026 - 23:59 (UTC) Country Japan Type of Contract Permanent Job Status Not...
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Experienced in one or more ML/AI techniques, such as reinforcement learning, federated learning, natural language learning, graph neural network Experience working on cyber-physical power systems, ideally
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The Interuniversity Center for Social Science Theory and Methodology (ICS offers fully funded PhD positions in the Netherlands for a variety of innovative and fascinating research projects. The PhD
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. Analyses data collected to gain further insight and reproducibility of findings Prepares, writes and edits reports, and the writing of materials for presentation and final publication including any graphs
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techniques more interpretable and biologically meaningful in their application to neural population coding. As a starting point, we will build upon recent advances in graph neural networks (GNNs), particularly
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. Analyzing data and creating graphs. Taking notes on experiments in our electronic lab notebook system. Carring out any other related duties as required in keeping with the qualifications and requirements
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impactful research on digital discourse and linguistics, digital humanities, as well as theories of aesthetics and politics, significantly contributing to our understanding of language, culture, and
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opportunity for someone who wishes to plan and deliver business change. You will work with senior University academics on a commercial project which puts theory and modelling into practice. Candidate Profile
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to neural population coding. As a starting point, we will build upon recent advances in graph neural networks (GNNs), particularly those described by which offer a promising architecture for modelling
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and differences in BMP impacts on profitability, risk, and sustainability. Generate GIS-based visualizations and spatial analysis where relevant. Prepare graphs, tables, and written summaries