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Science and Technology (LIST ). Information on research in Luxembourg is accessible via the national EURAXESS platform. LISER is an Equal Opportunity Employer Where to apply Website https://jobs.liser.lu
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English Proficiency in machine learning and large omics data analysis is preferred. Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMB0326/MD/DIIA Requirements Research FieldComputer science
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of Health (LIH) is seeking a highly motivated Postdoctoral Researcher with specialized expertise in multi-omics data analysis. You will play a central role in analyzing large datasets from multiple large
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3 Apr 2026 Job Information Organisation/Company LISER Department Labour Market Research Field Economics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline
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, the CSATLab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools
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supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups
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LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers available1Company/InstituteLuxembourg Institute of Science and TechnologyCountryLuxembourgGeofield Contact City Esch-Belval Website http
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SD-26083 – POSTDOCTORAL RESEARCHER IN THE CHEMICAL VAPOR DEPOSITION OF METAL ORGANIC FRAMEWORKS F...
: https://www.list.lu/ How will you contribute? The CLEANH3 project investigates the gas phase synthesis of metal organic frameworks for the conversion of small and low-energy molecules into advanced
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SD-26084 – POSTDOCTORAL RESEARCHER IN THE CHEMICAL VAPOR DEPOSITION OF COVALENT ORGANIC FRAMEWORK...
: https://www.list.lu/ How will you contribute? The CLEANH3 project investigates the gas phase synthesis of covalent organic frameworks for the conversion of small and low-energy molecules into advanced
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learning and spatio-temporal regularisation Processing multi- and hyperspectral satellite and drone data Collection of field data on relevant forest traits and laboratory analysis Support the development