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-based ML approach in the domain of dynamic stability of machining process Software development with microservice architecture in cloud environment for the machining domain What you bring to the table You
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of research and innovation! What you will do Applied science in exciting projects Design, execute and document machine learning experiments Testing the latest deep learning architectures and methods Analysis
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teaching, in acquiring and managing third-party funded projects as well as corresponding publication achievements. A central goal of the University of Hohenheim and the Fraunhofer-Gesellschaft is to promote
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, MWIR and LWIR range for various fields of applications. What you will do You will elaborate, simulate and optimize fiber laser architectures based on different fiber types (multi-clad fibers
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of research and innovation! What you will do Your task will be the development, practical application and evaluation of the next generation of XAI algorithms in novel model architectures and expert domains
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of PV sites used e.g. in digital twin models. The first goal will be to test the effectiveness of super-resolution imaging algorithms, for example, as available via the RetinaNet architecture used in
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to continuously educate yourself the ability to work in teams as well as independently the will to rethink, design and improve system architecture an above-average master's degree (scientific university degree) in
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architectures and training algorithms Coordination of research projects with external institutions Writing and publishing of scientific papers Presenting research results at conferences What you bring
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architectures and expert domains. What you bring to the table An excellent degree (Master of Science or equivalent) in Computer Science or a related field A solid theoretical foundation and practical experience
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the best architecture, topology and implementation for the RF-frontend circuits based on advanced CMOS, BiCMOS and state-of-the-art InP-process technologies. You work with customers and research partners