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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 21 hours ago
for the Studentship Programme, including: A copy of your Bachelor's academic transcript and certificate. A copy of your Master's academic transcript and certificate. If your Master's degree is pending, please provide
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techniques Writing and submitting computational proposals to obtain the computational resources required to accomplish the project Engage in the international simulation community Publishing the results
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demands. To break this bottleneck and cut simulation time by orders of magnitude, you will design and implement surrogate models that learn the behavior of full‑physics codes using modern machine‑learning
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future scenario simulation of VBD. Including machine learning, statistical, and process-based models. Present findings at scientific conferences and publish in peer-reviewed journals. Contribute
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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Description 3 x Academic Researcher (m/f/d) (TV-L E 13, 100%, Service Location: Clausthal-Zellerfeld) The research group Dependable and Autonomous Cyber-physical Systems (DACS) at the Institute
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profile Completed university studies (Master/Diploma) in the field of Physics (Computational-, Plasma Physics, Optics) or related field Mastery and use of the scientific method Experience in numerical
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experience and knowledge in either of the following: materials science, biomedical engineering, chemistry, chemical engineering, materials engineering, engineering physics, applied mathematics, computational
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doctoral candidates there, to reveal process-performance correlations and suggest the strategies for reducing corresponding degradation rates. The best performing alloys will be tested in vitro