Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
-
to complete with a PhD. The place of employment is Hamburg. GERICS develops science-based prototype products and services in support to government, administration and business in their efforts to adapt
-
1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society . The Department of Theoretical and Computational Biophysics headed by (Prof. Dr. Helmut Grubmüller) is
-
of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
-
organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The Department Cellular Neuroscience of Prof. Dr. Stefan Remy in association with the Research
-
for this job ". Prof Pich will answer any questions you may have about the position (pich@dwi.rwth-aachen.de ). By submitting an application, you consent to your data being processed electronically.
-
prototype development, construction, operation and analysis as well as characterisation of different scintillators and fibres. This project also includes the opportunity to spend an extended period working
-
knowledge of human brain function and to use this knowledge to help people with psychiatric and neurological disorders. Our research integrates multimodal brain imaging techniques with novel neuromodulation
-
) theoretical and practical experience in peptide chemistry, nucleic acid chemistry as well as knowledge of bioassays are beneficial Experience and knowledge in fluorescence spectroscopy/imaging is desired
-
this project, using extensive primary cell culture, molecular analysis, scRNAseq, non-invasive imaging analysis, along with mechanistic studies using 2D/3D culture models, we will dissect the distinct cellular