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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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. Correlated experimental, ab initio and multi-scale techniques are central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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Max Planck Institute for the Structure and Dynamics of Matter • | Hamburg, Hamburg | Germany | 2 days ago
Planck Research School for Ultrafast Imaging & Structural Dynamics (IMPRS-UFAST) is a joint venture of the Max Planck Institute for the Structure and Dynamics of Matter, Deutsches Elektronen Synchrotron
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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to adapt to climate change. It builds up a national and international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate
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three-year structured PhD programme, allowing the students to collect the necessary European Credit Transfer System (ECTS) points to obtain their PhD in Medical Research. MD students are welcome to join
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or equivalent from an accredited institution Previous experience in relevant research methodology and technology and basic knowledge in gastrointestinal cancer model systems appreciated Advanced English
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the mechanisms of immune cell activation and recruitment in various in vitro and in vivo models of inflammation and infections. In detail, this project addresses the functional analysis of PSTPIP1, a protein that