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Supported projects since January 2022
Prof. Dr. Christoph J. Brabec
Friedrich-Alexander-University of Erlangen-Nuremberg
Institute Materials for Electronics and Energy Technology
Dr. Carolin M Sutter-Fella
Lawrence Berkeley National Laboratory
Chemical Sciences Division
Prof. Dr. Matthias Braun
Friedrich-Alexander-University of Erlangen-Nuremberg
Institute of Geography
Dr. Alex Gardner
Sea level and Ice Group
Learning to See the Physical World
Prof. Dr. Bernhard Egger
Friedrich-Alexander-University of Erlangen-Nuremberg
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)
Prof. Jiajun Wu
Stanford University
Computer Science Department
Therapeutically targeting AKAP6 in heart and bone disease
Prof. Dr. Felix B. Engel
Friedrich-Alexander-University of Erlangen-Nuremberg
Nephropathology
Prof. Michael S. Kapiloff
Stanford University
Ophthalmology
Personalized Artificial Intelligence Methods for Heterogeneous Sequential Data.
Prof. Dr. Björn Eskofier
Friedrich-Alexander-University of Erlangen-Nuremberg
Machine Learning and Data Analytics Lab
Prof. Stephan Mandt
University of California, Irvine
Bren School of Information and Computer Science
Cosmological Insights from Artificial Intelligence
Prof. Dr. Daniel Grün
Ludwig-Maximilians-University of Munich
Institut für Astronomie und Astrophysik, Universitäts-Sternwarte München
Prof. Aaron Roodmann
Stanford University
SLAC National Accelerator Laboratory
Prof. Dr.-Ing. Kai-Olaf Hinrichsen
Technische Universität München
Chair of Chemical Technology
Prof. Ping Liu
University of California, San Diego
Department of Nanoengineering
New materials with kagome-structures as candidates for entangled quantum states
Prof. Dr. Dirk Johrendt
Ludwig-Maximilians-University of Munich
Department Chemie
Prof. Ram Seshadri
University of California, Santa Barbara
Materials Research Laboratory
Prof. Dr. Wolfgang Kellerer
Technische Universität München
Chair of Communication Network
Prof. Ram Rajagopal
Stanford University
Department of Civil and Environmental Engineering
Data rights for the users of artificial intelligence
Prof. Dr. Jan Krämer
University of Passau
School of Business, Economics and Information Systems
Dr. Georgios Petropoulous
Stanford University
Stanford Institute for Human-Artificial Intelligence
Prof. Dr. Dr. h.c. Ingrid Kögel-Knabner
Technische Universität München
Chair of Soil Science
Dr. Noah Sokol
Lawrence Livermore National Laboratory (LLNL)
Physical & Life Sciences Directorate
Prof. Dr. Tim Lüth
Technische Universität München
Institute for Micro Technology and Medical Device Technology
Dr. Franz Irlinger
Technische Universität München
Institute for Micro Technology and Medical Device Technology
Dr. Gerrit R. J. Melles
University of California, San Diego
Center for Memory and Recording Research
Prof. Frank Talke
University of California, San Diego
Center for Memory and Recording Research
Machine learning-based optimization for personalized brain stimulation therapy
Prof. Dr. med. Frank Padberg
Ludwig-Maximilians-University of Munich
Department of Psychiatry and Psychotherapy
Ph.D. Martin Tik
Stanford University
Brain Stimulation Lab
Supramolecular Trapping of Reactive Nuclear Waste Components
PD Dr. Alexander Pöthig
Technische Universität München
Chemistry & CRC
Prof. Polly L. Arnold
University of California, Berkeley
NChemistry & LBNL
Prof. Dr. Michael Scholz
Friedrich-Alexander-University of Erlangen-Nuremberg
Institute of Functional and Clinical Anatomy
Prof. Dr. Bruce Daniel
Stanford University
Department of Radiology, Mixed reality Incubator
Prof. Dr. Wei Xiang
Friedrich-Alexander-University of Erlangen-Nuremberg
Department of Molecular Neurology
Prof. Dr. Johannes Schlachetzki
University of California, San Diego
Department of Cellular und Molecular Medicine