Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
requirements Provide hands-on technical leadership across cloud, frontend, and backend development efforts Mentor engineers and developers while promoting best practices in software design, cloud architecture
-
, and data and information models. What you will do Support in the development and implementation of software projects and information architectures Modeling and implementation of knowledge graphs and
-
algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
-
architecture exploration, hardware/software co-design and operating/runtime systems. Typical application domains are e.g. signal-/image processing, artificial intelligence and machine learning. Tasks: research
-
innovative solutions for current and future key topics. Become a part of our team and join us on our journey of research and innovation! What you will do Testing new foundation model architectures for weather
-
system development and software development for four scientific laboratories Measuring devices and data analysis • InSAR (Interferometry of Synthetic Aperture Radar) computing system • IR mass spectrometer
-
Proven experience managing simulation and/or ML/AI projects on supercomputers Expertise in developing and advancing ML/AI-relevant software packages and tools, with commitment to open-source activities
-
knowledge and practical experience in designing the architecture of data infrastructures and IT applications Good knowledge of methods, process models and their application in software development processes
-
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
-
architectures Analysis and preprocessing of different data types (texts, images, time series, graphs, etc.) Review latest literature and data Orchestration and documentation of deep learning experiments