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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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, 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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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, Automorphic Forms and Representation Theory
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domain as 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
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spatial variability of soil health. You will be contributing to specifically the area of using proximal and remote sensors, soil physical, chemical and biological data, as well as plant and weather data
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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degree in food physics/food science/in vitro digestion and similar Documented expertise in using advanced physical techniques on soft matter Have a good understanding of advanced analytical techniques (MS
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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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the field of environmental analytical chemistry and will focus on technical and conceptual developments in non-target screening , primarily of per- and polyfluoroalkyl substances (PFAS) . Building on previous
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Semantic Communications, Internet of Things, Data Compression and analytics, and Tactile Internet. What we offer We offer a vibrant and inclusive research environment with a strong interdisciplinary