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Field
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a team More specifically: - For mission 1: knowledge of signal and image processing, machine learning (PyTorch or TensorFlow + NumPy/SciPy), statistical processing & data and results visualisation
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validation. Data Processing: Documentation, data analysis, and contribution to reports/publications. Expected Outcomes: TRL 5 UAV prototype. 3 Q1 publications and one patent contribution. Workflow for morphing
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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their electrical charge, size and 3D conformation with unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The experimental approaches
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structures, algorithms, and debugging tools; familiar with medical image processing (vtk and ITK), medical device communication protocol (OpenIGTLink) and open-source medical imaging computing platform like
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, and implementation of medical devices, software, operational workflows, realistic spacecraft, and mission environment models for display on immersive screens and physical prototypes using 3D printing
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of the work is to advance and automate the use of ptychography on various sample types. In particular : 1) accelerate the reconstruction process using a multislice algorithm 2) allow a 3D reconstruction and 3
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ultrasound with histology is planned on plaques after surgery. The post-doctoral fellow will be involved in the post-processing of 3D data (Verasonics ultrasound + matrix probe) and in particular: registration
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, and sensor data processing algorithms; implementing and testing ROS nodes, embedded controllers, and closed-loop control routines on prototype hardware; preparing technical reports, delivering
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solar (thermal and PV) and geothermal energy with soil-based thermal storage to enable reliable 24/7 operation of adsorption desalination. We also develop low-cost sorption composites from locally