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an indication of the potential leak location. Based on the previous research works, Leak-scan proposes to use 3D GPR data to optimize the detection process powered by AI techniques. Its objectives contain (1
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training through high-fidelity 3D visualization (PhD 5). The vacant research position corresponds to the abovementioned ‘PhD 1’ in the FireRisk project. More specifically, you will combine spatial data
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clinical decision-making within the framework of precision medicine. https://nastalylab.gumed.edu.pl THE RESPONSIBILITIES OF THE PERSON EMPLOYED IN THIS POSITION WILL INCLUDE: Co-leading R&D activities
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, of January 25th. The presentation of such Recognition is mandatory for contract signature. More information can be obtained in: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition . II
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Digital Twin, which will be combined with existing 3D image data. This approach allows for an unprecedented exploration of Long Room's physical properties, enabling new acoustic experiences for both
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and the environment. The developed methods will combine wireless sensing with digital map information (e.g. 3D building models), enabling safe autonomous navigation in complex urban environments
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Course location Karlsruhe Description/content The Cluster of Excellence 3D Matter Made to Order (3DMM2O) is a Research Cluster jointly run by Karlsruhe Institute of Technology (KIT) and Heidelberg
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. Experience in cell culture (2D and 3D). 2. Experience in molecular biology techniques. 3. Experience in microscopy and image analysis. 4. Experience in bioinformatics. 5. High level of English (B2 or above). 6
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– for manipulating images Familiarity with computer vision libraries, like OpenCV or Dlib, for developing and implementing vision-based models Familiar with 3D refractive imaging technique with demonstratable track
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systems programming and real-time control (e.g., LabVIEW, Simulink Real-Time, ROS, C/C++, STM32); analog and digital PCB design; machine design and prototyping (e.g., CAD modelling, 3D printing, machining