Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Medical Sciences
- Economics
- Chemistry
- Biology
- Science
- Linguistics
- Materials Science
- Mathematics
- Earth Sciences
- Engineering
- Psychology
- Sports and Recreation
- Environment
- Arts and Literature
- Business
- Philosophy
- Education
- Electrical Engineering
- Humanities
- Law
- Social Sciences
- 12 more »
- « less
-
complex input. For instance, in physics-informed ML, in addition to data examples used by a standard ML setup, domain knowledge serves as an additional input. It can be in an explicit form of rigorous
-
11.07.2025 Application deadline: 04.08.2025 The following position is available in the newly established Collaborative Research Center 1718 “Common Ground: Cognition – Grammar – Communication
-
to evaluate. The main research question is how to automatically harmonize the retrieved information allowing a unique analysis and to map them against multiple user-tailored outputs. This is necessary as the
-
rhabdomyosarcoma), fragmented data from multiple small series has hampered global elementary understanding of metastasis biology and - therefore – targeted therapy development. It remains unresolved – and is
-
and interpretation of results Supporting the analysis of multiple mitochondrial ‘omics datasets, such genomics, transcriptomics and clinical data Collaborating regularly with the team members and
-
a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens
-
-time 65%) in the DFG-funded Integrated Research Training Group (RTG) Beyond Amphiphilicity – RTG 2670: Self-Organization of Soft Matter via Multiple Noncovalent Interactions . The position is funded from
-
TV-L, part-time 65%) in the DFG-funded Integrated Research Training Group (RTG) Beyond Amphiphilicity – RTG 2670: Self-Organization of Soft Matter via Multiple Noncovalent Interactions . The position
-
providing a structured, semantic framework that enhances knowledge sharing and data reuse across different platforms and systems. Project Aim This PhD will develop an ontology-based methodology to improve
-
format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable