Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
-
computational models with the "exact" but lower resolution information available from experiments. Job description: Application of specially developed approaches to define for transferable force-fields with
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
-
• Programming skills, especially in the field of scientific computing and data analysis and web presences • Knowledge of data processing, network architectures and operating system environments. • Good knowledge
-
of Scientific Collections (DiSSCo)) Strategic and thematic conception of the data architecture and data flows (with a focus on research data), with consideration of national and international standards and
-
extension, in the programme area "Next-Generation Horticultural Systems" (HORTSYS), in the research group "Open Field Horticultural Systems" within the EU-HORIZON project NitroScope - "Scoping European N
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
-
The Fraunhofer institute for Cognitive Systems IKS is specialized on applied research in the innovative areas of artificial intelligence, cognitive systems and intelligent software architectures
-
The culturally diverse Research Group “Plant Architecture ” lead by Prof. Dr. Thorsten Schnurbusch is primarily interested in basic research questions concerning how cereal inflorescences, called
-
of this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture