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Field
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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to the road? Then this position is just right for you! About us In the Autonomous Vehicle Lab, we develop the vehicle of the future with intelligent algorithms and methods. We are involved in numerous projects
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Organoid Engineering for Multi-Organ Interaction Studies (POEM) program ( www.uni-heidelberg.de/en/cctp-poem ) brings together expertise in material science, computer science/machine learning, biophysics
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, high performance computing and artificial intelligence. The institute is supported by numerous national and international third-party funding organisations. He/she manages the press and public relations
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health management with health and sports offers (including bouldering wall, tennis courts, company fitness programme via EGYM Wellpass) Remuneration according to TVöD (federal government), depending
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 4 days ago
. MPIA scientists are involved in high-performance computing, the analysis of large data sets and instrumentation. For the professional support of the scientific, technical, and service departments we
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science, computer engineering, or a
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psychometrics Computer- and web-based psychological assessment of cognitive abilities Advanced meta-analytic research methods for educational research You are pursuing your research independently and in
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check whether the model can reliably predict the parameters of a demonstrator component What you bring to the table You are studying industrial engineering, physics, computer science, mechanical