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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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years. Experience in genomic, transcriptomic, or large-scale biological data analysis. Familiarity with programming languages (R) and bioinformatics tools. Knowledge of statistical analysis methodologies
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(the Million Tutoring Moves [MTM] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO’s mission is to develop
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reports and grant proposals. You should possess a PhD or DPhil (or near completion of) in Machine Learning or Maths. Informal enquiries may be addressed to jakob@robots.ox.ac.uk For more information about
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experience in electromicrobiology/MFC who are motivated to engage with complex anaerobic syntrophic systems are particularly encouraged to apply. Qualifications PhD in microbiology, bioelectrochemistry
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Literature and Late Antique History, and a data technician. The project aims to reconstruct the place of Greek in the sociolinguistic landscape of western Europe during Late Antiquity (300 - 700 CE). Employing
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or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular biology. Languages skills: fluent command of English; knowledge of another
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biochemical datasets. A major focus will be on introducing new AI models to chart the chemical “dark matter” of the mammalian metabolome; examples of such models include large supervised or self-supervised AI