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Are you passionate about compression, analytics, and machine learning for the Internet of Things and can you contribute to the development, operation and support in cutting-edge projects in strong
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engineering to identify variants with high performance towards PFAS degradation. Enzyme immobilization for efficient and continuous enzymatic PFAS degradation in realistic water matrices and under water
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. An extension of 1–2 additional years may be offered, subject to satisfactory performance. Job description The successful candidate will contribute to cutting-edge research on topics including: Token compression
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candidate will be affiliated with the Stochastic Analysis in Aarhus project, led by Professor Fabrice Baudoin and funded by the Villum Foundation. The group conducts research in areas such as random matrices
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matrices, stochastic differential geometry, stochastic partial differential equations, Malliavin calculus, and related topics in analysis and geometry. Qualifications Applicants should hold a PhD degree in
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pathways of contaminants in diverse environmental and human matrices. Our work involves conducting both environmental risk assessment and public health risk assessment ( https://envs.au.dk/en/about-the