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Determine T cell phenotype and transcriptomic characteristics Integrate T cell data with other adaptive immune parameters. Making high quality peptide-MHC reagents to explore T cell recognition How can we
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econometric methods for analysing large datasets. Are proficient in coding and data management using tools such as Stata, R, or Python. Have a strong interest in the research area and have a strong independent
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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advanced modelling and techno-economic analyses of a potential CO2 hub at Nybro, with a particular focus on: Symbiosis between data centers and solid sorbent direct air capture (DAC) systems Integration
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: Establish and develop experimental protocols and pipelines and implement data management compliance. Presentation of your work in various meetings (locally at the department, national and international
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between relative humidity (RH), water activity (aW) and moisture content (MC) in common biobased building materials A large part of the project will be experimental laboratory work studying fungal behaviour
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extensive use of surface science methods and also includes the most advanced methods of microscopy through its collaboration with VISION. Visiting large scale facilities such as synchrotrons for EXAFS and
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Job Description Are you experienced in WGS data quality control and analysis from bacterial isolates? Do you have a strong interest in genomics and antimicrobial resistance (AMR)? The Research Group
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Measurements and Data Processing as per June 1st, 2026, or as soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering, Aalborg
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum