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: to make the world of tomorrow safer. Be part of change Implementation and application of computer vision approaches, including: object detection (e.g., using YOLO, RT-DETRv2, etc.) image classification
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candidate will facilitate code collaboration within the Modelling of Atmospheric Processes (MOD) department and, in particular, manage IAP code contributions to the upper atmosphere components of the ICON
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
and teaching, the professorship will represent functional cardiovascular imaging with a focus on hemodynamic modeling and act as a bridge between basic research, medical technology development, and
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improve the sustainability, the energy efficiency and the safety of industrial processes. The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Multisensor and
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with unique capabilities for processing refractory materials like tungsten. Several institutions have joined together through 'ElectronsMatter' to investigate different aspects of Tungsten PBF-EB
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
Electrical Engineering, Computer Engineering, Mechatronics, or a related technical field; or equivalent experience in developing and implementing hardware and software solutions for virtual production
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student majoring in computer science, artificial intelligence, image processing, or a similar field, and are looking for an internship in accordance with your examination regulations You have an analytical
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characterization of a prototype hardware setup What you contribute You are a student in the field of computer science, photonics, physics, engineering or a similar study program. You have basic knowledge of working
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
Job Code: 2026-Predoc-Bioimaging-2430 Job Offer from March 04, 2026 Optical microscopy is essential for studying dynamic processes in living cells due to its unique live cell imaging capabilities
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and unsupervised learning, time-series analysis, computer vision, representation learning, anomaly detection, forecasting, or multimodal data processing. The goal is to design and evaluate robust and