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writing skills are essential. Additional information: Interviews are planned for 18th March 2026. For further information and details of how to apply, please visit our website http://jobs.jic.ac.uk
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 months ago
information on patients. The group’s homepage: https://www.skane.se/en/about-us/research/for-dig-som-forskar/center-for-primary-health-care-research/molecular-family-medicine-laboratory/ https
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
. This is enabled by an extensive farm-based infrastructure with large scale measurement of methane emissions and feed intake on individual cows, as well as collaborations with industry and international
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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
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, reinforcement learning, robust or explainable models). • Knowledge of Network Digital Twin concepts. • Experience working with large, real-world datasets and building reproducible pipelines (data quality, missing
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, leadership, and data science. Special training for writing successful ERC Starting Grants as a ‘ticket’ to an outstanding academic career. Being part of a thriving academic and social community in Vienna, one
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Job description: At the University of Vienna more than 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around
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are seeking a highly motivated and independent bioinformatician or postdoctoral researcher to strengthen our team and support ongoing and future projects involving large-scale sequencing data. The successful
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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are experimentally driven and 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