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molecular simulations, and cutting-edge AI techniques including graph neural networks (GNNs) and large language models (LLMs) to accelerate experimental design and discovery of novel materials. The research
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at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will
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at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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scientific development. This includes designing and coordinating in vitro and in vivo studies to investigate host-pathogen interactions in yellow fever and other orthoflavivirus infections. You will develop
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biotechnology. The project is funded by the Research Foundation- Flanders (FWO). Responsibilities Vector design and library construction Design large-scale CRISPR screens Plant tissue culture and transformation
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a design-technology co-optimization (DTCO
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theory and Lie algebras Special attention will be given to applicants who propose a research plan that builds bridges between two or more of these areas. We strive to improve the gender balance and
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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datasets Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate Design and lead your research project, with sufficient guidance and mentoring. Contribute