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) modulation, digital signal processing (DSP), and power-efficient IC design. The results of your research could potentially pave the way also for breakthroughs in other applications that demand large arrays
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requirements A PhD degree in physics, materials, or electrical science and engineering Solid and proven understanding of ultrasound wave physics, transducers, signal processing, and basic electronics Advanced
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processing; experience with array processing or inverse problems is beneficial. Proficiency in programming languages such as C, C++, Python, or Julia/Matlab is advantageous. Background in computational
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to receptors in a protein array at the cell surface. The chemosensory system (the bacterial “brain”) processes sensory information before producing an output chemical signal that controls its movement. Prior
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payloads, including digital signal processing and associated technologies. Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You will
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in physics or engineering including wave physics and signal processing Expertise in flow quantification and mapping with ultrasound imaging mandatory Extensive experience in programming (Matlab and C
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, intelligent vehicles / robotics, acoustics and signal processing, computer vision. Demonstratable experience in applying Deep Learning, using PyTorch, TensorFlow, JAX on real-world sensor data. Experience with
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). Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Evaluation of low-power RISC-V centric data signal processing
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directly into memory arrays, the proposed approach significantly reduces data movement and energy consumption. To ensure dependable operation under real-world conditions, efficient fault detection and