Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- Heidelberg University
- Forschungszentrum Jülich
- Max Planck Institute for Chemical Physics of Solids, Dresden
- Max Planck Institute for Demographic Research (MPIDR)
- ; Chemnitz University of Technology
- ; Max Planck Society
- Fritz Haber Institute of the Max Planck Society, Berlin
- Heinrich Heine University Düsseldorf
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute of Molecular Physiology, Dortmund
- University of Tübingen
- 5 more »
- « less
-
Field
-
cyclacenes, a certain class of cyclic aromatic compounds that have been first proposed by Heilbronner in 1954, but still are elusive till date. By combining the expertise of synthesis, matrix isolation
-
Satellite (W-0045 | all genders) to conceptualize and quantify relationships between the cloud-formation scale and mesoscale cloud patterns. As a successful candidate, you will combine your expertise in
-
) to conceptualize and quantify the controls of anvil extent and cloud feedback of tropical deep convection across scales. As a successful candidate, you will combine your expertise in deep convective processes with
-
Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
erythematosus (SLE). This project will integrate biochemical, immunological, and imaging techniques, along with co-culture of patient-derived organoids and model organisms combined with various –omics approaches
-
of duties The newly established Systems Neuroimmunology Laboratory at LMU Munich is seeking a motivated and creative postdoctoral researcher passionate about combining neuroimmunology and advanced
-
on the influence of Alzheimer’s disease and aging on changes in cognitive functions in humans. The project combines cutting-edge technologies from genetics, proteomics and statistical modeling to understand
-
Tübingen offers a combination of high-performance medicine and strong research. The goal of the Carl-Zeiss-Project “Certification and Foundations of Safe Machine Learning Systems in Healthcare” is to enable
-
. Moreover, the successful candidate will also need to develop a system to estimate the uncertainty of the predictions. Potential solutions could include ensemble generation, a combination of EOF
-
Your Job: Combine multimodal brain imaging with advanced image-processing, data science, and AI techniques to perform image alignment, segmentation, and classification to construct and validate
-
: Please send your documents combined in a single PDF file to: office@nm.cit.tum.de with the subject "Application for Research Position ". Application by mail: Please send the above-mentioned documents to