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: Operator Algebras, Machine Learning, Analytic Number Theory, Automorphic Forms and Representation Theory Appl Deadline: 2025/10/10 11:59PM (posted 2025/09/10, listed until 2025/10/10) Position Description
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to gain experience in cross-sector research collaborations and serving as a platform for a future research career in academia, hospital, or industry. Your role You will lead SIF project work package 2
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, you will be asked to indicate, which of the areas listed on the page above are of interest to you. The list includes positions covering Operator Algebras, Machine Learning, Analytic Number Theory
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, we aim to establish proof-of-concept yeast immunogens as a foundation for next-generation anti-fungal vaccine candidates. You are expected to take a lead investigator role with support from senior team
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engaged in experimental and analytical work focused on the recycling of textiles through thermochemical and solvent-based processes. A central part of the role involves operating both pyrolysis and
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position as postdoctoral researcher for 2 years in the area of computational nanophotonics, with a focus on semi-analytical and numerical methods for treating electron-beam spectroscopies. We are looking
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documented by a PhD dissertation and/or research publications a solid theoretical and analytical understanding of text culture, AI, and related fields experience of empirical research methods, such as corpus
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) including advance SAXS data analysis and modelling . The following qualifications are also important: Have a good understanding of advanced physical-chemical analytical techniques Experience with in-house
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Science, Aarhus University (AU FOOD). AU FOOD is in possession of the most advanced analytical research infrastructure, with well-integrated, high-tech prototype facilities. This world-leading
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analytical skills in model evaluation Experience in advanced statistical analysis of results Experience with crop model calibration and evaluation, such as DSSAT, APSIM, or equivalent Insight into analyzing