Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
. Algorithm Development: Research, implement, and optimize image processing algorithms for both embedded and PC-based systems. Data Management: Analyze and evaluate modern data persistence concepts for
-
other semiconductors. One focus is the development, implementation, characterization, modeling, and simulation of laser material processing in the areas of structuring, ablation, joining, and surface
-
German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden-Württemberg | Germany | 18 days ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
-
responsibility include the following: implementation/porting of algorithms from the fields of deep learning and audio signal processing extension of methods in the field of music information retrieval, e.g. for
-
processing of orders for scientific and administrative departments while most of the core Procurement team will focus on the Workday implementation project. Due to the upcoming ERP transition, the
-
processing of orders for scientific and administrative departments while most of the core Procurement team will focus on the Workday implementation project. Due to the upcoming ERP transition, the
-
Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Tübingen, Baden-Württemberg | Germany | 2 months ago
. Optional: Support data capture - the technical setup of a multi-camera system, organization and coordination of project participants, as well as data processing. Optional: Assist in conducting
-
student assistants . We can discuss our ideas together to find the right job for you. What you contribute Strong understanding and practical experience with image processing methods or computer vision
-
on quantum computing-based data processing and develops machine learning methods in support of quantum technologies. The team is part of flaQship , the Fraunhofer Lab for applied quantum computing
-
computing-based data processing and develops machine learning methods in support of quantum technologies. The team is part of flaQship , the Fraunhofer Lab for applied quantum computing Stuttgart-Heilbronn