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Field
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-efficient chemical processes, giving you hands-on experience at the intersection of chemistry, physics, and simulation. If you are eager to apply your Master’s knowledge to real-world challenges and
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
. Project Description The successful candidate will work on the development of a Gaussian Process regression framework on graphs and its integration into: the Numerical Information Field Theory (NIFTy
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imaging systems and ensure the optimal deployment and networking of sensors to efficiently process and analyze the resulting data streams. In this way, we support people in decision-making, process
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employees in 5 scientific departments conduct and facilitate top-level research on historic grounds in Berlin-Dahlem, which is unique worldwide. The Department of Physical Chemistry focusses on the dynamics
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 1 day ago
fundamental research across computational, physical, and social dimensions, we shape artificial intelligence and robotics to advance knowledge and benefit society. The Haptic Intelligence department
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that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking
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, computer science, or physics with good to very good grades First experiences with algorithm development preferably using C++, Python or MATLAB Basic understanding of optical communication systems Basic
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process includes the evaluation of existing systems, extensive simulation-based analyses, as well as the implementation and validation of algorithm and system designs in real world settings. Your tasks
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results Your profile Completed university studies (Master) in the field of Chemistry, Radiochemistry, Geology, Mineralogy, Physics or related field Experience in experimental methods for analyzing reactive
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process. By integrating simulation-informed priors into the reconstruction algorithm, we aim to significantly improve both accuracy and sensitivity. The position is hosted at the Fritz-Haber-Institut