Sort by
Refine Your Search
-
Category
-
Employer
- Technical University of Munich
- DAAD
- Nature Careers
- Fraunhofer-Gesellschaft
- University of Tübingen
- Brandenburg University of Technology Cottbus-Senftenberg •
- Leibniz
- University of Münster •
- Deutsches Elektronen-Synchrotron DESY •
- Forschungszentrum Jülich
- Hannover Medical School •
- Helmholtz-Zentrum Geesthacht
- Hertie School •
- Karlsruhe Institute of Technology •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute of Biochemistry •
- Max Planck Institutes
- Technical University of Darmstadt •
- Technische Universität Berlin •
- University of Bremen •
- University of Göttingen •
- University of Potsdam •
- 16 more »
- « less
-
Field
-
group, a multinational insurance company. Tasks Your duties will include: Literature research Designing, implementing, and evaluating novel machine learning approaches to detect building attributes from
-
08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
-
: 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
-
skills in Python and PyTorch including fundamental software engineering principles and machine learning design patterns. Be highly motivated and a team player with excellent communication and presentation
-
for this position, the candidate should possess in-depth skills in programming and hands-on training and evaluating machine-learning models. Expertise in in the field of Building Information Modelling and geometric
-
, Computational Linguistics, Data Science or a similar field Good theoretical knowledge and practical experience with Natural Language Processing (rule-based and/or machine learning) Software Engineering Motivation