Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
++), Deep learning tools (PyTorch) Computer Vision tools (OpenCV, MeTRAbs) English scientific communication skills. LanguagesENGLISHLevelGood Research FieldComputer science Additional Information Benefits
-
engineering, data science, statistics, mathematics, physics or an adjacent subject, with focus on medical image analysis and/or deep learning. Furthermore, the following competences will be expected
-
Job Description Do you want to figure out why Bayesian deep learning doesn’t work? And afterwards fix it? At DTU Compute we are working towards building highly scalable Bayesian approximations
-
| Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.03.2032 Reference no.: 5115 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique
-
Number: 6861527 Postdoctoral Scholar Employee - Astrophysics - Department of Astronomy Position overview Salary range: The UC postdoc salary scales set the minimum pay determined by experience level at
-
| Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.03.2032 Reference no.: 5115 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique
-
, applied mathematics, neuroscience, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar
-
, Computational Linguistics, Machine learning, Computer Engineering or related fields Preferred Qualifications: ● Strong experience implementing and training deep learning models in PyTorch, with attention
-
) | Working hours: 20,00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: 31.03.2032 Job ID: 5115 Explore and teach at the University of Vienna, where over 7,500 brilliant minds
-
research profile, and an international network around big data in marine sciences. The candidate will have access to NIOZ’s high-performance computing cluster, GPU nodes for deep learning, dedicated data