Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Free University of Berlin
- Leibniz
- DAAD
- German Cancer Research Center
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Technische Universität München
- 1 more »
- « less
-
Field
-
to research facilities in Germany and abroad Scientific writing skills evidenced in publications (for Postdocs) A deep sense of scientific curiosity and the aspiration for achieving knowledge in solid state
-
multi-omics data integration and the project will provide opportunities to learn, develop, and apply machine learning and deep learning methods on genomics data. Requirements: excellent university and PhD
-
Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
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
-
, Genome editing tools, Regulatory mechanisms, Synthetic genomics, Genotype-to-phenotype & genomic-environment interactions, Metabolism, Single cell and spatial omics development Deep learning-enabled
-
to molecular mechanism. New experimental and computational methods, including data and deep-learning driven approaches to study complex biological processes in the context of cells, organisms, communities and
-
Knowledge in deep learning Experience with object detection algorithms, e.g. Yolo or Faster R-CNN Plus: first experience with 3D object detection. What you can expect Very nice supervisors, a good atmosphere
-
and development to improve clinical processes for the benefit of our clinical partners and, in the end, patients. What you will do It has been observed that deep learning models are able to identify
-
(preferably in Python) Very good knowledge in German or English Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing
-
) department develops innovative deep learning technologies in the area of image and video analysis. The department's competencies cover the entire processing chain, from the collection and analysis of visual
-
Experience in path planning / trajectory planning or traffic optimization is desirable Knowledge of programming languages such as Python and experience with deep learning frameworks (e. g. PyTorch) Passion