Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Leibniz
- Forschungszentrum Jülich
- DAAD
- University of Tübingen
- Free University of Berlin
- Heidelberg University
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Fraunhofer-Gesellschaft
- ; Technical University of Denmark
- ; University of Cambridge
- Fritz Haber Institute of the Max Planck Society, Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Leibniz Institute for Neurobiology
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Nuclear Physics, Heidelberg
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- University of Greifswald
- University of Paderborn
- WIAS Berlin
- 14 more »
- « less
-
Field
-
Your profile: Master degree in biology, biochemistry, biotechnology or related areas prior experience with cell culture, iPSC and molecular biology techniques prior experience in bioinformatics
-
sense of touch with low-magnitude normal and shear forces as well as sensing of multiple contact points. Additionally, the end effectors need to be modular to handle different surgical tools. Furthermore
-
of methodologies for operando synchrotron- and lab-based XAS and complementary techniques that provide information about the transformations of the electrocatalyst structure and composition on different time scales
-
19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
-
brings together six research groups in Tübingen with complementary expertise in microfluidics, organoid generation, onco-immunology, and bioinformatics. If you’re excited about developing the next
-
Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 12 days ago
culture A highly collaborative and international research environment at the MPI for Brain Research, a globally renowned institution where around 40% of scientists are from abroad and 40 different countries
-
of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and
-
detection, segmentation, and quantification of diseases such as cancer, the generation of novel representations of pathology data for further processing, or the discovery of virtual biomarkers for patients
-
this research project, state-of-the-art techniques will be employed including multi-spectral imaging, methylome analyses, RNA-Seq at single-cell and bulk levels, cell culture as well as bioinformatics analyses
-
mechanisms in blood cell regeneration at different ages and aims to characterize how stem and progenitor cell fate and function is altered between steady state and inflammatory conditions. We further explore