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100 % position available from 01.06.2024, initially limited to 3 years. Tasks: Conduct an AI-driven systematic review to comprehensively analyze the current state of AMR in the environment. Perform a
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-Good Supply and Disposal in Urban Environments" About TUM Asia Graduate College in Singapore is focusing on research around New Technologies and Processes for Passenger and Cargo Transport for cities
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 8 days ago
of foundational models in the context of observation (mainly based on transformer architectures) Your profile # Completed university studies (Master/PhD) in natural sciences, mathematics, earth and environment
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member of the university alliance UAS 7. We offer 25,000 students and 1,000 academics from Germany and abroad an inspiring learning, research and work environment in the fields of engineering and
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. Our focus lies on AI-based perception algorithms for previously unseen scenes that allow the robot to flexibly perform various tasks in everyday environments. The planning and execution of movements
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06.02.2024, Wissenschaftliches Personal Are you passionate about machine-learning based systems for traffic environment perception? Do the challenges of precision, time-criticality, resource, and
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Environment (BLE)" profile area funded by the Ministry of Culture and Science of the State of North Rhine-Westphalia. This researches the sustainability of real estate in its life cycle, which includes
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Helgoland, Schleswig Holstein | Germany | 3 months ago
position in "Eco-evolutionary responses of phytoplankton to changing environments" (m/f/d) Background Environmental changes such as warming and alterations of dissolved nutrient concentrations place
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 2 months ago
collaborative environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in
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. Compared to indoor environments, outdoor areas have uneven terrain and more unknown obstacles, which drastically reduces the performance of 2D LiDAR SLAM approaches. Instead, localization needs to capture