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environment. We are creative, we shape technology, we design products, we improve processes, we open up new paths. Our clients value our modelling competence, algorithms and software products. We
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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on highly relevant and practical research projects and experience interdisciplinary research at the forefront of technological innovation. With access to state-of-the-art computing resources, simulations, and
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an algorithm to be implemented in Python.
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and their processing on the FPGA of a frame grabber card You will program the PC software for configuring and controlling the algorithms on the FPGA Your tasks will include designing the transfer
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into account given requirements Implementation of mathematical models and algorithms Validation and documentation of the results What you bring to the table You are studying computer science, mechanical
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their reliability and resource efficiency during production and operation. The »KI-unterstütze Simulation« team combines physically based simulation approaches with efficient and advanced mathematical algorithms and
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system requires effective orchestration that can schedule the application on these systems. While traditional scheduling algorithms exist, these do not focus on the energy footprint of applications
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enable the digitisation of strategies for the expert. The concept is also used to describe an algorithm for the development of process parameters to eliminate laser-induced roughness during laser polishing
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for the recognition, classification and characterisation of images in a wide range of dimensions, wavelengths and resolutions. Background: In computer graphics, accurately modeling and controlling structural elements