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Field
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science
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PyTorch. Track record of publishing in top Vision/Graphics/Animation and Human-Computer Interaction conferences/journals such as CVPR, ICCV, ICMI, SIGGRAPH, or similar conferences/journals. Strong
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PyTorch. Track record of publishing in top Vision/Graphics/Animation and Human-Computer Interaction conferences/journals such as CVPR, ICCV, ICMI, SIGGRAPH, or similar conferences/journals. Strong
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
track-record in first-author scientific publications for Postdoc applications Experience with data-driven machine learning methods for modelling (PINN, Sparse Symbolic Regression methods) High willingness
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PyTorch. Track record of publishing in top Vision/Graphics/Animation and Human-Computer Interaction conferences/journals such as CVPR, ICCV, ICMI, SIGGRAPH, or similar conferences/journals. Strong
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programs, with three years funding, in collaboration with the University of Göttingen. Masters students aiming at a fast track PhD are also welcome. The Postdoc position is limited to two years with a
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designed to facilitate a timely transition of outstanding postdoctoral researchers with a research and/or clinical doctorate degree from mentored, postdoctoral research positions to independent, tenure-track
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tracking/monitoring, blockchain Biotechnology: Host strain screening and engineering for microbial bioprocess development; microbial physiology and adaptation for industrial applications; high-throughput
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Postdoctoral Position: Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D