Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Forschungszentrum Jülich
- DAAD
- Nature Careers
- Leibniz
- ;
- Deutsches Elektronen-Synchrotron DESY •
- Free University of Berlin
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institutes
- RWTH Aachen University
- Saarland University •
- Technische Universität Braunschweig
- Technische Universität München
- University of Bremen •
- University of Tübingen
- 10 more »
- « less
-
Field
-
algorithms into an existing framework, with a focus on efficiency, as well as creation and execution of relevant simulation pipelines: from real data to mathematical and clinically actionable results
-
to): Transparency and contestability in AI Accountability in algorithmic infrastructures Technical mechanisms for evaluating and auditing AI systems Governance of open-source and general-purpose AI models Data rights
-
holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms (AI) to analyze large imaging and molecular
-
the opportunities and challenges of the datafication and algorithmization of society, culture, and human knowledge in the age of AI. You will play an active role in developing an innovative departmental profile
-
://reallabor.offshore.uol.de/en/ ). Within your PhD, you will develop wind farm control algorithms that can contribute to providing system services with a focus on active power and frequency control while simultaneously
-
focus on a current research area in algebra and meaningfully complement the existing research, for example, in the fields of representation theory, algorithmic algebra, tropical geometry, or algebraic
-
system requires effective orchestration that can schedule the application on these systems. While traditional scheduling algorithms exist, these do not focus on the energy footprint of applications
-
of multi-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome, and transcriptome data) by using efficient algorithms
-
, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms
-
of methods for detecting infringements of intellectual property rights Research in the field of explainable algorithms for semantic search Development of innovative methods for information extraction Analysis