Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- DAAD
- Nature Careers
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Leibniz
- Deutsches Elektronen-Synchrotron DESY •
- Heraeus Covantics
- International PhD Programme (IPP) Mainz
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Saarland University •
- TU Dresden
- University of Bremen •
- University of Potsdam •
- 6 more »
- « less
-
Field
-
that demand interdisciplinary solutions? Then the Program for Collaborative Doctoral Projects is the perfect opportunity for you. Many of today’s most pressing problems can only be tackled through
-
microscopy and atom probe tomography will be prepared. Finally, you will merge the images by means of deep learning algorithms. Your tasks in detail Development of the experimental protocol for the imaging
-
learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
-
technology. ▪ Close connection to the activities of the Munich Quantum Valley with its main goal to build a quantum computer based on different platforms, to develop suitable algorithms and applications, and
-
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
-
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
-
Degree Doctorate Course location Potsdam In cooperation with The innovative PhD and postdoctoral programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly
-
represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
-
experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
-
of software interfaces and data models Selection and configuration of algorithms for annotating and organizing research data and software using state-of-the-art AI technologies Ensuring the sustainability and