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universities worldwide. We are looking for a PhD student in Process Metallurgy who will conduct research studies in the field of iron oxide reduction and carburization using alternative hydrogen carriers. We
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application! We are looking for a PhD student in Wireless Communication and Computer Vision. Your work assignments Point clouds (PCs) are sets of three-dimensional (3D) data points and their attributes
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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School. DDLS uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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application! Your work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning
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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different nationalities, backgrounds and fields. As a postdoctoral researcher working with us, you
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/journal.pgen.1007969). As starting point, we have mutants disrupting this mechanism for further research. In addition, a key aspect of this project are “Epigenome Engineering” methods. These rely on targeted
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that align with current researchers at IAS. Furthermore, applicants should indicate interest in one or more of the following four research groups: The Segregation Group examines how people become unevenly