Sort by
Refine Your Search
-
Employer
- Technical University of Munich
- DAAD
- Nature Careers
- University of Göttingen •
- Heidelberg University •
- Dresden University of Technology •
- Forschungszentrum Jülich
- German Cancer Research Center (DKFZ) Heidelberg •
- Goethe University Frankfurt •
- Hannover Medical School •
- Humboldt-Universität zu Berlin •
- Ludwig-Maximilians-Universität München •
- TRON – Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz •
- Tübingen University
- Ulm University •
- University of Bamberg •
- University of Konstanz •
- Universität Hamburg •
- 8 more »
- « less
-
Field
-
Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
-
Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
-
Molecular Neurobiology at the University of Münster – ideally with you on board! RESEARCH FOCUS: Our institute is at the forefront of medical education research, specializing in visual expertise development
-
15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine
-
, geoinformatics, medical informatics, informatics in economy, forest science, agriculture, geography. In the case of forest science, agriculture or geography, a focus should have been on computer science
-
: a state of the art workplace located at the heart of the medical campus in close proximity to clinics and other research institutes a diverse and international team eager to approach diverse questions
-
of future applications from the fields of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and
-
the five faculties of Biology and Psychology , Chemistry , Geoscience and Geography , Mathematics and Computer Science , and Physics . These faculties are closely cooperating with the University Medical
-
, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
-
ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI