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autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project covers the aspects of sensing, detection and classification in radar-based perception. Key
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imaging using deep learning. You will study the water imbibition in hierarchically porous Si‑based material systems across multiple length and time scales. These systems can manipulate fluid transport
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, and mineralogy Independent, self‑driven researcher with a strong problem‑solving mindset Proven team player, able to collaborate across multiple institutions Critical thinking to assess model
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multiple smaller/lighter elements. This could make them suitable for a range of applications that could include: (i) line-side cantilever gantries for railway electrification; (ii) transmission tower and
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Language Processing Experience with multimodal learning (integration of time-series, clinical, and textual data) Strong programming skills (Python, PyTorch/TensorFlow) Demonstrated coding portfolio: GitHub link
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, Bioengineering, or a related field Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis
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multiple spatial and temporal scales. By adopting a multi-scale perspective, the project aims to significantly improve our ability to observe and quantify flood-related hazards. The main study area will be
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neuroscienceanalyses to MRI data from multiple species , the project aims to study the evolutionary basis of human cognition —including language, working memory, theory-of-mind , and the specialized brain networks
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will work with researchers who conduct world-leading research on the occurrence and progression of inflammatory diseases such as multiple sclerosis (MS). We are working to integrate large-scale clinical
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distribution. For ideal sources and optical surfaces we can solve the so-called Monge-Ampère equation to find the freeform shapes of the surfaces. Scattering elements however send light rays in multiple