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Field
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of the Research School will be anchored in a robust thesis advisory committee (TAC) model, designed to provide comprehensive support and guidance to PhD students throughout their research journey. Each student will
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to transferring research results into practice. LogDynamics collaborates closely with enterprises, especially in the logistics and production industry. The IGS aims to identify, describe, and model the intrinsic
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doctoral project at the Faculty of Arts and Humanities. Doctoral students can choose between a regular track and an integrated track. The regular track is the standard model of the individual doctorate
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data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using programming languages like R, and/or Python. You have excellent
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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geoinformatics in addition to scientific computing. By using the tools of informatics in this subject, anyone can study or model objects, structures, regulatory networks, or processes (signals, materials and
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of human-environment research. The general theme associates process mapping and modelling, creation of material balances (water, air, sediment, carbon, nitrogen and pollutants), the reconstruction of past
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of mathematical models to the development of new imaging-related techniques and compounds. The programme is searching for excellent students who hold a Master's degree in Biology (or related fields), Physics
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Your Job: Maintain, and update quantitative methods for assessing economic impacts of the energy transition at the national and regional levels Develop dynamic and multisectoral economic models
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microscopy. Root architectural phenotyping. Plant and root physiological measurements to determine the function of root phenotypes. Functional-structural plant modeling to determine the benefit of root