Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Forschungszentrum Jülich
- DAAD
- University of Tübingen
- Brandenburg University of Technology Cottbus-Senftenberg •
- Ludwig-Maximilians-Universität München •
- Leibniz
- Max Delbrück Center
- Nature Careers
- Technical University of Munich
- University of Kassel •
- Fraunhofer-Gesellschaft
- Goethe University Frankfurt •
- Hector Fellow Academy
- Heidelberg University
- Justus Liebig University Giessen •
- Leibniz Institute of Ecological Urban and Regional Development (IOER) •
- Leuphana University of Lüneburg
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for Sustainable Materials •
- Technische Universität Berlin •
- University of Bremen •
- University of Konstanz •
- University of Potsdam •
- University of Regensburg •
- Universität Heidelberg
- 17 more »
- « less
-
Field
-
such transformative insights arise primarily from the genius and perseverance of individual visionary figures, or are they the result of synergetic team efforts that pool collective knowledge and creativity
-
innovation and team research. Keywords History of Science | Technological Breakthroughs in STEM | Dynamics of Individuality vs. Teamwork | Innovation | Transformational Processes Entry Requirements Master’s
-
Transformation” invites applications from scientifically outstanding and committed Master’s graduates striving to become part of a new hub for transformation research at Leuphana University of Lüneburg. PhD
-
combining Transformers [5] with Neural ODEs, resulting in an end-to-end modelling framework. Transformers are particularly effective at capturing complex long-range spatiotemporal dependencies within
-
its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
-
transformation paths that are necessary to address the challenges posed by climate change Present research findings at national and international conferences, utilizing effective communication skills to convey
-
Identification and parameterization of innovative and circular industrial processes as a central component of the sustainability transformation Identification of possible usage profiles for different types of (bio
-
of concepts from institutional, behavioral, and resource economics Identification and parameterization of innovative and circular industrial processes as a central component of the sustainability transformation
-
the boundaries of efficiency and precision in data analysis but transforms the way we think about data in scientific contexts. At the same time high energy physics is building on decades of experience in high
-
Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
. Experimental validation of the established AI model is also expected to be a part of this project. Specifically, your tasks will be: Running numerical simulations to generate training data Building transformer