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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
tasks include: implementing computational mechanics algorithms in Python and C++, translating existing research codes and numerical methods into a modern collaborative software framework, developing
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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
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imaging, and inverse problems. Your goal will not simply be to implement algorithms, but to turn cutting-edge imaging research into reliable, accessible and extensible software – and to develop new
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and automata, and the interaction between formal methods and artificial intelligence. We welcome candidates interested in topics ranging from foundational theory to the development and evaluation
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introducing narrow-bandwidth active noise compensation. RF field feedback can be further enhanced by investigating variable-gain controllers that adapt to cavity detuning, or exploring other feedback algorithms
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who works at the intersection of numerical methods, scientific computing, and data-driven modeling. The position is devoted to the development, analysis, and implementation of flexible, tailored, and
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
things, IT develops instruments for ground-based observatories and for space missions. We are looking for a member of the software development team within the technical departments on a fixed-term contract
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exciting opportunity for you to join our team working on Scientific Machine Learning (SciML). The project focuses on developing scalable HPC algorithms and mixed-precision solvers to train neural models
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
and animals look and move. We develop algorithms to estimate human shape and motion in images, videos, RGB-D sequences, etc. Our approaches define the current state of the art, and we are constantly
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. The successful candidate will pioneer new algorithms for graph-structured data, revisit classical graph problems through the lens of modern machine learning, and help define the next generation of generative