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• Computational skills for multi-omic data analysis (R, Python) is a plus. Department Contact for Questions Dr. Asmaa El-Kenawi Email: asmaa.elkenawi@cancerimmunometabolism.com Website: https
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University. They will carry out field work and analysis for case study royal landscapes that form the focus of the project, with primary responsibility for performing multi-proxy palaeoecological analysis
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-for-medical-image-analysis Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-de… Requirements Research FieldComputer scienceEducation LevelMaster Degree
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or a related quantitative field. Candidates with PhD in biomedical science with genomics data analysis training and experience are also encouraged to apply. Job Description: This position is based within
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information about the network: https://euraxess.ec.europa.eu/jobs/401249 1. Context and Challenges Title: Physics-Informed Neural Operators (PINO) for Ultra-Fast Tomography: Toward Fundamental and Generalizable
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researcher will work at the interface of root developmental biology, 3D modeling, network and graph theory, and data analysis, in close interaction with biologists, modelers, and computer scientists (INRAE
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of protocols and architectures for practical quantum networks. Carry out experimental characterization and performance analysis of components and links for quantum communications. Develop and validate
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; archival, ethnographic, and participatory research; GIS and social network mapping; policy input; socio-economic modelling and analysis; and synthesising quantitative and qualitative data. Achievement
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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) at the Karolinska Institute, Sweden. The position is funded by the European Commission through the MSCA Doctoral Network Endotrain (Grant No: 101227148) and coordinated by the University of Bergen, Norway