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Further information may be obtained from Carlos Acevedo-Rocha: cargac@ dtu.dk . Google Scholar profile . More information about BRIGHT: https://bright.dtu.dk , CPE group . If you are applying from abroad
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools for highly dynamic SatCom systems Implement and open-source proof-of-concept
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of strictly anoxic systems Microbial physiology assays, analytical chemistry and metabolomics Meta-omics approaches Fluorescence in situ hybridization (FISH, CARD-FISH) & advanced microscopy. Candidates with
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models for mass spectrometry data, or multimodal models integrating multiple sources of analytical data for the discovery of metabolites and other types of small molecules. The position will remain open
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: http://ecos.au.dk/en/. What we offer Excellent research infrastructure with access to state-of-the-art facilities, shared technical equipment, and strong technical support for fieldwork and data
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Experience in mathematical modelling, statistical inference, simulation studies, and data analysis Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++) Analytical and structured way
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https
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our website: https://www.list.lu/ How will you contribute? As part of a major European project on high‑performance, multifunctional textile materials, the Luxembourg Institute of Science and Technology
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
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, with strong expertise in RNA biology, structural biology, enzymology, glycobiology and quantitative proteomics. More information: https://mbg.au.dk What we offer We offer: The opportunity to work in an