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Field
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unknown terrain conditions, an accurate representation of the environment is essential. For this purpose, data from multiple sensors needs to be interpreted and fused to reliably estimate the traversability
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industrial objects. Different acquisition devices are used depending on the object properties and quality requirements. We research modern machine-learning methods for the analysis of an object's optical
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well as the management of highly complex multimodal data. This role will focus on providing, developing, evaluating, and productizing computer vision methods for the analysis of video and imaging data that are generated
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 14 days ago
institute of the Max Planck Society and is dedicated to the study of human cognitive abilities and brain processes as well as the development of neuroimaging methods. The Brain Networks Group, led by
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interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and
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looking for a PhD Student (f/m/d) to work on the Development and Evaluation of PET Image Reconstruction Methods for Simultaneous Clinical Dual-Tracer PET Imaging. Positron emission tomography (PET) is a
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protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor
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data analysis and data visualization Methods development Development of new analysis pipelines in collaboration with our AI team Lab support: Maintenance of cutting-edge light-sheet microscopes
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doctorate Carrying out measurements on ceramic composite materials using laboratory X-ray sources and synchrotron radiation sources: spatially resolved X-ray refraction, computer tomography, and X-ray/neutron
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling