Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- Heidelberg University
- University of Tübingen
- Fraunhofer-Gesellschaft
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- ; Technical University of Denmark
- DAAD
- Fritz Haber Institute of the Max Planck Society, Berlin
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- 5 more »
- « less
-
Field
-
., Merchant, A. T., Naghipourfar, M., Nguyen, E., Ricci-Tam, C., Romero, D. W., Sun, G., Taghibakshi, A., Vorontsov, A., Yang, B., Deng, M., … Hie, B. L. (n.d.). Genome modeling and design across all domains
-
multidisciplinary team to design and carry out experiments with infants with neurodevelopmental disorders Analyze and interpret complex behavioural and audio-visual data Dissemination of scientific results and lead
-
innovation and serves the needs of the economy and citizens. Researchers from the fields of economics, law, and political science collaborate at SAFE. Within the European project ESG UPTAKE aimed to strengthen
-
, the model will maintain a global scope to capture international interactions, such as the demand for agricultural products from regions like the EU. This research will inform the design of effective and
-
their operating principles and, therefore, their ability to be designed, manipulated, and produced. Mesoscale organization is integral in bridging scales between microscopic interactions and macroscopic material
-
international researchers who would like to continue a promising research program in a highly stimulating research context that values ideas, innovation, and independent thinking. We offer the perfect
-
both. Ideally, you bring strong technical expertise and the curiosity to work across modalities and domains. Your responsibilities Design and implement machine learning and deep learning pipelines
-
-party funding Research topic In this research project, the optimization of feed spacer design aims to reduce biofouling in membrane modules, enhancing cleaning efficiency and overall process performance
-
various subjects. As a living lab it also promotes co-construction and collaboration with educational practice. The TüDiLab is part of the IWM-Future Innovation Space (FIS: https://future-innovation.space
-
Design and realization of relevant simulation pipelines: from real-world data to mathematically and (e.g., clinically) applicable results Publication of results in scientific outlets (journals, conference