Sort by
Refine Your Search
-
Employer
- Leibniz
- Forschungszentrum Jülich
- Nature Careers
- Technical University of Munich
- Dresden University of Technology •
- Hannover Medical School •
- Helmholtz-Zentrum Geesthacht
- Karlsruhe Institute of Technology •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- University of Münster •
- Universität Hamburg •
- 3 more »
- « less
-
Field
-
, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
-
Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 3 hours ago
doctoral researchers (68% international) from 18 different countries in our PhD programme. Teaching/work obligations or opportunities The IMPRS CoNI is a full-time PhD programme without teaching obligations
-
data from different regions and link the findings to relevant processes of the soil-plant system International travel to Uruguay & Ireland to perform combined field trails Your Profile: Master’s degree
-
microscopy in biological science; digital signal processing; computer-aided design of optical and photonic systems; LabView; MatLab/SimuLink) Scientific modules (Summer School; Karlsruhe Days of Optics
-
, biostatistics, bioinformatics, and theoretical physics. Recently, AI (AlphaFold, computer vision, etc.) has had a huge impact on life science, proving that this field is constantly changing. The mission of QMB is
-
International Graduate School for Interdisciplinary Life Sciences (DIGS-ILS) is a well-established PhD programme at TU Dresden, one of Germany’s top research universities. Since 2006, we’ve been supporting
-
(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
-
journals. Close collaboration with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong