Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Nature Careers
- Leibniz
- Technical University of Munich
- Forschungszentrum Jülich
- Humboldt-Stiftung Foundation
- Universität Hamburg •
- Fraunhofer-Gesellschaft
- Hannover Medical School •
- Helmholtz-Zentrum Geesthacht
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Administrative Headquarters of the Max Planck Society, Munich
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Heidelberg University
- Helmholtz Centre for Environmental Research - UFZ •
- Johannes Gutenberg University Mainz •
- Justus Liebig University Giessen •
- Karlsruhe Institute of Technology •
- MPINB
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Structure and Dynamics of Matter •
- Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr
- Technische Universität Berlin •
- The Max Planck Institute for Neurobiology of Behavior – caesar •
- University of Bonn •
- University of Freiburg •
- University of Göttingen •
- University of Münster •
- University of Stuttgart •
- University of Tübingen
- 25 more »
- « less
-
Field
-
heterogeneity; namely non-iid and domain shift, e.g. multi-modal data acquired by different scanners and imaging protocols. Publish and present scientific results at international conferences and high-impact
-
-diffraction studies of complex materials and nanodevices. The candidate will perform X-ray scattering experiments with nanofocused beams to study the structure of self-assembled superlattices of nanoparticles
-
-diffraction studies of complex materials and nanodevices. The candidate will perform X-ray scattering experiments with nanofocused beams to study the structure of self-assembled superlattices of nanoparticles
-
: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
-
workflow for the imaging of Mg-LPSO alloys via X-ray nanotomography followed by higher resolution imaging of the identified regions of interest using transmission electron microscopy and atom probe
-
cyanobacteria and Paramecium bursaria. Image data analysis using AI-based tools and programming analysis scripts. Participation in conferences, presentations, and preparation of publications. Intensive exchange
-
control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
-
, understand its role in therapy resistance, and identify novel regulators using innovative CRISPR screening approaches combined with advanced imaging, single-cell transcriptomics, and phospho-proteomics.
-
functional cell assays Interest in translational leukemia research and innovative imaging and omics technologies Bioinformatics experience, especially in R Ideally initial experience with image analysis, laser
-
Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning