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                datasets, such as large-scale data, text as data, or satellite imagery (‘Big Data Economics’). The ifo Institute is one of Europe’s leading economic research institutes. Research at ifo combines academic 
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                , TensorFlow, Pandas), ideally combined with knowledge of data visualization or statistical analysis Knowledge of software development (e.g., Python, Matlab, Simapro), especially in combination with experience 
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                to industry partners to learn and set up on-site research Preparing scientific publications and project reports Your Profile: Strong motivation for an interdisciplinary project that combines physics and biology 
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                : Strong motivation for an interdisciplinary project that combines physics and biology together with simulation and data science and practical relevance A master`s degree or diploma and subsequent PhD in 
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                of the Biological Carbon Cycle - Combining molecular evolutionary and biochemical approaches, we will generate an integrative, comprehensive understanding of how microbes evolved the ability to capture CO2 billions 
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                engineering, and quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework 
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                tools. Our interdisciplinary research combines laser physics, nonlinear dynamics, and light–matter interaction, driven by fundamental scientific curiosity and long-term technological visions. We pursue 
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                , investigates how children and adults actively seek, select, and evaluate information to learn about the world. The lab combines behavioral, computational, and cross-cultural approaches to study curiosity 
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                a novel synchrotron setup to combine x-ray scattering with light microscopy. Most of the work will be performed in Grenoble at the ESRF. The newly built setup will then be used to investigate a 
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                the multifactorial patterns of hearing disorders through a novel combination of knowledge- and data-driven approaches. One goal of the research area "data-driven personalization of hearing support" the position