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from work involving laboratory mice is desired, but is not an absolute requirement. · Excellent verbal and written communication skills. · Excellent organizational and time management skills. · Ability
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Models for Multi-Modal Reasoning This project explores the integration of graph-based foundation models (e.g., knowledge graphs) with large language models (LLMs) to build AI systems capable of reasoning
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Networks, and ICT Services & Applications. About the role... The successful candidate will join the SVV research group headed by Prof. Domenico Bianculli. The team focuses on the development and design of
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atmosphere within an energetic scientific network The affiliated Jena School for Microbial Communication (JSMC) offers an ambitious, structured, and interdisciplinary doctoral training based on top-level
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore
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. Candidates with prior experience in biomineralization and/or skeletal research will be preferred. The ideal candidate thrives in an interdisciplinary environment, communicates well both in written and spoken
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facing science, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working
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prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al., Cell Metabolism, 2023; Leung et al., Science Translational Medicine, 2022; Seelbinder et al., Nature Communications, 2023
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The Özel Lab at the Stowers Institute for Medical Research has openings for postdoctoral researchers to pursue independent projects investigating the gene regulatory networks that control neuronal
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. Position Responsibilities: Develop and implement computational and systems biology approaches for network and hidden driver analysis from spatial omics and single-cell omics data. Collaborate with