15 computational-physics "https:" "https:" "Fraunhofer Gesellschaft" uni jobs in Germany
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. If you are interested, there is the possibility of doing an internship beforehand. What you contribute You are studying mechanical engineering or another engineering master’s degree program with a focus on
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-film electrodes Fabrication of electrochromic cells What you contribute A current Master’s degree programme in the natural sciences (preferably chemistry, materials science, physics or nanostructure
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of doing an internship beforehand. What you contribute You are studying mechanical engineering or another engineering master’s degree program with a focus on electrical machines. Do you already have some
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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industrial application Related works: [1] https://arxiv.org/pdf/2404.09932 (Relevante Abschnitte: 2.7, 3.5, 3.6) [2] http://arxiv.org/pdf/2403.00108 [3] http://arxiv.org/pdf/2411.17453 [4] http://arxiv.org
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optimization of technical processes and products. We present the exciting range of applications of our collaborative software development MESHFREE: https://www.meshfree.eu/ Currently, our team is working
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process; it remains unaffected. Objective: The aim of this master's thesis is the development and systematic evaluation of training strategies that dynamically adjust the training process at runtime based
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to an "alignment" process. In T2T models, some neurones in the architecture are repurposed as safety neurones. To better understand the alignment process, the locations of safety neurones in both architectures
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experience with PyTorch. Ideally, knowledge in computer vision and object detection/segmentation. Motivation to independently delve into new and current research topics. Willingness to work with erotic
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skills, preferably some experience with PyTorch. Ideally, knowledge in computer vision and object detection/segmentation. Motivation to independently delve into new and current research topics. Willingness