Germany has a highly efficient health service but is not in the international vanguard according to health system research. Ariel Dora Stern, one of the few researchers with a global reputation in the field, is now invited to Potsdam to drive this highly relevant and promising field of research, which has been underrepresented in Germany to date.
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The physicist and electrical engineer, Juan Daniel Prades Garcia, is an expert on semiconductor technologies and metrology. He is invited to Braunschweig to establish a research focus on ubiquitous metrology with the aim of developing highly sensitive quantum and nano sensors that can be used to reliably and comparatively measure the tiniest particles outside the lab.
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F. Ömer İlday has played a seminal role in developing ultrafast laser technology, transforming the field of non-linear laser-matter interactions in the last few years. He is now invited to join Ruhr-Universität Bochum to explore new research fields in materials science and establish a world-class research centre.
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Peter N. Robinson is a pioneer in the computer-assisted genome and phenotype analysis of genetic diseases. His major work has been the development of the Human Phenotype Ontology, which is now a standard tool used internationally to diagnose gene-related diseases. At the Charité in Berlin, Robinson is invited to develop algorithms for AI-based precision medicine.
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How cells sense and respond to mechanical signals is an important aspect of many biological processes, including the development of tissue structures and diseases like cancer. By recruiting the eminent researcher, Benoît Ladoux, Erlangen wants to become a beacon for mechanobiology on the international research landscape.
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In most artificial intelligence (AI) applications, models learn from data that derives from a single information source. Additional data sources or so-called modalities can make AI models better and more reliable. An expert in multimodal learning, Marcus Rohrbach is set to become a Humboldt Professor for Artificial Intelligence in Darmstadt.
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Michaela Mahlberg uses computer-aided, quantitative linguistic methods to study huge bodies of text. By recruiting this leading specialist, FAU wants to establish itself as an international centre of excellence in the digital humanities.
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What would a red sofa look like in my sitting room? Augmented reality applications can visualise the answers to questions like this. Dieter Schmalstieg is set to continue his application-related research into virtual and augmented reality (VR/AR) as a future Humboldt Professor at the University of Stuttgart.
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When mathematics meets AI, and optimisation, machine learning: mathematician Suvrit Sra’s fundamental works on methods of optimisation have made a seminal and incomparable contribution to the theoretical understanding and continued development of learning systems. TUM Munich wants to harness the Humboldt Professorship for Artificial Intelligence to expand its leading position in the field of artificial intelligence.
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The fundamental research conducted by computer scientist Stefanie Jegelka has led to a better understanding and optimisation of graph neural networks (GNNs) and made her name. In Munich, she is called upon to drive our theoretical understanding of machine learning and develop algorithms as well as trustworthy machine learning tools.
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