Central institutes

The Free State of Bavaria supports with the Bavaria California Technology Centre (BaCaTeC) the collaboration between researchers from Bavaria and California as part of the programme ‘High-Tech-Offensive Zukunft Bayern’ (Bavarian High-Tech Initiative for the Future). BaCaTeC is a central institute for Bavarian universities and is based at FAU.

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Bavaria California Technology Centre (BaCaTeC)

The Center for Nanoanalysis and Electron Microscopy (CENEM) is a facility featuring cutting-edge instrumentation, techniques and expertise required for microscopic and analytical characterization of materials and devices down to the atomic scale. CENEM focuses on several complementary analysis techniques, which closely work together: Electron Microscopy, Cryo-TEM, Scattering Methods, Scanning Probes and Atom Probe Microscopy. With the combination of these methods new materials, particles, structures and devices are characterized not only microscopically and analytically on all length scales even down to the atomic scale but also by various in situ investigations and 3D methods. The knowledge gained through the versatile characterization methods is then used to further develop and improve materials and devices.

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Center for Nanoanalysis and Electron Microscopy

The Erlangen Graduate School in Advanced Optical Technologies (SAOT) was founded at FAU in November 2006 as part of the Excellence Initiative. Key research activities at SAOT include optics and optical technology, which are pivotal to 21st century engineering. Optical technologies have a wide range of applications in science and industry, such as in information and communication technology, process technology, manufacturing technology, energy and environmental technology, and medicine.

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Erlangen Graduate School in Advanced Optical Technologies (SAOT)

The Cluster of Excellence ‘Engineering of Advanced Materials – Hierarchical Structure Formation for Functional Devices’ (EAM) is the only interdisciplinary research partnership of its kind in Germany focusing on materials science and process engineering. Key research activities at EAM include the fundamental and applied aspects of design and the development of high-performance materials. EAM is affiliated with FAU and is part of the Excellence Initiative run by the DFG (German Research Foundation), Germany’s largest organisation for research funding.

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Cluster of Excellence Engineering of Advanced Materials (EAM)

FAU is committed to providing excellent support for young researchers. The Graduate School was set up as a key part of this initiative. It supports young researchers, promotes interdisciplinary and international collaborations, and helps international doctoral candidates integrate themselves at the University. Its main objective is to maintain the high quality of education and supervision that doctoral candidates receive at FAU.

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FAU Graduate School

The task of the Centre for Applied Ethics and Science Communication (ZIEW) is to bring together and co-ordinate the various activities in the fields of applied ethics, philosophy of science and scientific communication that are spread across the different faculties and departments at FAU, with a view to presenting them to a wider public.

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Centre for Applied Ethics and Science Communication (ZIEW)

ZAR’s key research fields are ‘Body and Embodiment’, ‘Region and Practices’ and ‘Norms, Normativity and Norm Change’ – key aspects of human life which will be investigated in terms of their significance for religion.

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Central Institute for Anthropology of Religion(s) (ZAR)

ZiLL establishes, supports and connects interdisciplinary research on teaching and learning at FAU. Its projects analyse factors involved in teaching and learning processes at all ages. In these projects, teaching and learning is investigated both in a school environment and in contexts outside of the classroom.

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Central Institute for Teaching and Learning (ZiLL)

FAU’s Central Institute of Healthcare Engineering (ZiMT) was founded on 1 December 2009 and has played a key role in establishing leading national and international research projects and teaching programmes in the field of medical technology ever since. It is responsible for bringing together the University’s medical expertise in one organisation and co-ordinating collaboration with industry.

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Central Institute of Healthcare Engineering (ZIMT)

The Institute of Advanced Materials and Processes (ZMP) at the University of Erlangen-Nürnberg conducts interdisciplinary research in the areas where materials science, mechanical engineering, chemistry and physics meet. The dynamic and innovative environment at ZMP is ideal for developing new materials and manufacturing methods for lightweight components. ZMP was established to develop ideas emerging from basic research into prototypes.

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Institute of Advanced Materials and Processes (ZMP)

The Centre for Scientific Computing (ZISC) co-ordinates complex simulation tasks which involve multiple faculties and departments.

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Central Institute for Scientific Computing (ZISC)

The Centre for Teacher Education co-ordinates teaching degrees and placements for all teaching degree programmes. It also advises students and is involved in the quality management of degree programmes for teachers in training.

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Centre for Teacher Education (ZfL)

The FAU Research Center for Mathematics of Data – MoD aims to pool in a coordinated manner the knowledge of researchers from FAU facilities, the Max-Planck-Zentrum für Physik und Medizin, the ADA Lovelace Center at Fraunhofer IIS and, more generally, of the perimeter of FAU, in the great challenge of developing the Mathematics allowing to empower data.

It optimally combines the expertise and experience in Applied Mathematics, Scientific Computing, Artificial Intelligence and Data Science to address the challenges arising in a broad range of research disciplines and various innovative industrial sectors.

MoD aims to contribute to the great challenge of the “Mathematics of Data”, rooted in the Nuremberg Metropolitan Region, open to global international cooperation.

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FAU Research Center for Mathematics of Data (MoD)