Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Leibniz
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Heidelberg University
- University of Tübingen
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- ; Technical University of Denmark
- DAAD
- Fraunhofer-Gesellschaft
- Fritz Haber Institute of the Max Planck Society, Berlin
- Helmholtz-Zentrum Geesthacht
- 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
- 6 more »
- « less
-
Field
-
organoid and assembloid formation can be controlled via microfluidics and how the assembloid-designs affect cell biology. The position will be embedded in the two research groups of Dr. Kai Melde
-
of gender identity, disability, national origin, or any other demographic or personal factors. Your Profile: A Ph.D. degree in molecular or cancer biology A strong background in experimental design and
-
., 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
-
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
-
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
-
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
-
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