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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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: 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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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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, 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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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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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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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
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analytics and decision-making; Designing energy-efficient, low-latency communication strategies; Publishing high-impact research and contributing to outreach and dissemination activities. In addition, you