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Geophysics . The group develops the Lagrangian transport model FLEXPART and studies all aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and uses
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no.: 4004 The research group “Atmospheric Transport Processes,” led by Prof. Andreas Stohl, is part of the Department of Meteorology and Geophysics . The group develops the Lagrangian transport model FLEXPART
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human study populations and ideally including experience in advanced statistical modelling of indicators of diet and health. The successful candidate will have to coordinate his/her activities in teaching
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models, time series, cross-sectional or network data, also in high-dimensional, high-frequency, and/or misspecified scenarios. Proficiency in modern data science methods and their applications would
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Biochemical Network Analysis group, led by Jürgen Zanghellini . The team focuses on mathematical modeling, artificial intelligence, and high-performance computing to study metabolic networks and optimize
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experience in statistical modeling High interest in working in an interdisciplinary research field Experience in academic writing and with research methods First experiences in presenting research ideas
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—understanding and modelling excellent donor and/or client experience Basic financial management, bookkeeping, and accounting tasks to ensure the accurately tracking of fundraising progress A track record of
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background have an interest in acquiring methodological skills in areas such as formal (mathematical) modelling and/or (quantitative) empirical testing (conducting experimental research and/or large-scale
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models for open science. It will lay the groundwork for novel approaches to documenting data as a process to cater to the diversity of inter- and cross-disciplinary data needs. The successful candidate
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, transparent salary according to the collective agreement Model 2: The contract term upon employment is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years