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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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efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a sustainable future. These
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scientific work on design automation for quantum computers and develop methods and software tools dedicated to the design and realization of quantum algorithms/circuits. One of the main challenges in
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, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
Administrative support of SCO team including general office management, onboarding, purchasing, and processing of documents Calendar management and scheduling Support for guests and visitors Education and
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of the anticipated total funding period. You must provide details about the planned visits in your study plan and time schedule in your application documents (see 'Application documents'). Duration of the funding
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AI4SmartCities that aims at technology transfer. The AI4SmartCities team is aimed to eventually create a spin-off company. The candidate is intended to conduct market research of AI for Smart Cities algorithms and
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of microfluidic devices. Simulation for microfluidics. (CFD) High Performance Computing and/or GPU programming for this domain. Machine learning algorithms for this domain Clean energy solutions (e.g., microfluidic
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curriculum vitae in tabular form (max. 3 pages) Comprehensive statement about working or research project (max. 10 pages), to be uploaded under ‘research project’ in the DAAD portal. Time schedule and
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., based on the 1D or analytical model) Hybrid simulation approach (e.g., which combine CFD and 1D simulations) High Performance Computing and/or GPU programming for this domain Machine learning algorithms