Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Wrocław University of Science and Technology
- University of Warsaw: Faculty of Mathematics, Informatics and Mechanics
- Warsaw University of Technology
- Politechnika Rzeszowska (The Rzeszow University of Technology)
- Poznan University of Technology
- Silesian University of Technology
- State Higher Vocational School in Tarnów
- University of Gdansk
- West Pomeranian University of Technology, Szczecin
- Gdańsk University of Technology
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Institute of Geophysics Polish Academy of Sciences
- Institute of Physical Chemistry, Polish Academy of Sciences
- Military University of Technology - Wojskowa Akademia Techniczna
- Poznan University of Physical Education, POLAND
- University of Economics in Katowice
- Łukasiewicz Research Network – PORT Polish Center for Technology Development
- 7 more »
- « less
-
Field
-
). Design and fabrication of the calibration test phantoms Developing and testing acquisition software, and implementing image analysis algorithms and localization methods. Where to apply E-mail
-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and
-
the human musculoskeletal system, or experience providing engineering, hardware, statistical, or algorithmic support for such research (e.g., in biomechanics, biomedical signal processing, analysis of data
-
working with image and video data covering at least selected aspects of data acquisition, quality control, dataset preparation, feature extraction, motion analysis, algorithm validation, or AI model
-
elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and