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will be working on developing multi-scale and multi-modal models, contributing to bridge transport economics, network modelling and activity-based modelling, and leverage different types of (big) data
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sensing and responding to the chemical landscape surrounding them as well as the chemical signals inside of them. This project is devoted to gather large data sets to investigate links in olfactory receptor
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22 Oct 2025 Job Information Organisation/Company University of Limerick Department Department of Accounting & Finance Research Field Computer science Researcher Profile Recognised Researcher (R2
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23 Oct 2025 Job Information Organisation/Company chalmers tekniska högskola Research Field Computer science Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 1 Dec
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running simulations or AI workflows on supercomputers Experience with training or applying large language models for research Experience with MPI and Input/Output (I/O), and data management Experience in
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, Ecology, or a closely related field. Demonstrated expertise in processing and analyzing remote sensing data (hyperspectral and/or Lidar is a strong plus). Strong proficiency in programming, particularly in
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simulations, design and conduct experiments, and analyze multimodal data streams in a continuous, real-time loop with minimal human intervention (https://www.nature.com/articles/s41524-024-01423-2 , https
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, lead large-scale benchmarking across the full stack, and develop scalable classical simulations (e.g., tensor networks)—including performance bounds beyond brute-force classical simulability. This role
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assembly and annotation Experience working on computer clusters and handling large datasets Laboratory skills including DNA/RNA extraction and library preparation Demonstrated advanced bioinformatics skills
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are Artificial Intelligence, Computational Science, and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational, and