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Publications in renowned peer-reviewed journals Excellent technical and methodological skills in the areas of separation and analysis techniques (including enantiomeric purity analysis) and high-resolution mass
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the research team around Univ.-Prof. Adrian Constantin, PhD. Our ideal candidate has a strong interest in Mathematical Analysis with special backround in Partial Differential Equations and Dynamical Systems, can
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Computing Cloud Computing Performance Analysis and Optimization Communication Technologies for Supercomputers Workload Management and Scheduling Optimization of LLM Training and Inference Our working language
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on analytical metabolomics for (sub)cellular analysis. The method-oriented research plan supports cutting-edge biotechnology on synthetic organelles and new-to-nature pathway design to maximize nutrient and
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methods, including inductive and abductive approaches Good knowledge of deliberative and interpretive policy analysis The following additional skills are desirable: Experience with blended learning
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chemistry-driven projects and chalcogen bonding. Proficiency in data analysis and interpretation, as well as the ability to critically analyse scientific literature. Excellent written and oral
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and family demography; (2) demographic analysis of population-environment interactions. The position involves teaching in English, and the successful applicant will be expected to participate in
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in providing computational methods to improve the representation, retrieval, integration, analysis, visualization, and communication of spatial and spatiotemporal data with a wide range of applications
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degree in Geography (major in Physical Geography, Natural Hazards and Risk Analysis, Process Geomorphology or equivalent) or Applied Geology, Engineering Geology or Cartography and Geoinformation Interest
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, and you will join the research group led by Prof. Christa Cuchiero to work at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The research areas cover a wide range of