Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- Forschungszentrum Jülich
- Leibniz University Hannover
- DAAD
- Max Planck Institute for Mathematics in the Sciences
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- University of Bonn
- University of Greifswald
- ;
- FUB - Free University of Berlin
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Georg-August-Universitat Gottingen
- Goethe-University Frankfurt
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Humboldt-Universität zu Berlin
- Johannes Gutenberg University Mainz
- Karlsruhe Institute of Technology, KIT
- Max Delbrueck Center for Molecular Medicine
- Max Planck Institute for Chemical Physics of Solids, Dresden
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Physics, Garching
- Max Planck Institute of Molecular Cell Biology and Genetics
- University Medical Center Göttingen
- University of Oldenburg
- University of Tuebingen
- Universität Bremen
- Universität Hamburg
- Universität Tübingen
- 23 more »
- « less
-
Field
-
for inverse problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering
-
for students. Requirements We require for the position the following: A Ph.D. in the field of Applied Mathematics, Computer Science, Computational Science and Engineering, or similar. Knowledge of numerics as
-
. Your qualifications ▪ Above-average university degree in electrical engineering, communications engineering, mathematics, physics (or similar) with thorough knowledge in quantum information and
-
apply for stays in Europe. Travel grants are awarded for up to 3 months and encompass a contribution which may cover the expenses for travel, lodging, and course fees. Target Group PhD students or medical
-
. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
-
, christian.deppe@tum.de) Your qualifications ▪ Master’s or doctoral degree in electrical engineering, communications engineering, mathematics, physics (or similar) ▪ Interest in theoretical work with high practical
-
. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
-
) and present your work at top conferences and journals in our field. Candidates should have completed their Master/Diploma studies in Computer Science, Mathematics, Mechatronics, Electrical Engineering
-
of targeted therapies. Analyzing high-dimensional single-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal