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Field
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, data-centric research, and applications to scientific and medical imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related
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related field. Experience in microfluidics, stem cell technologies, electrophysiology, or advanced imaging is an advantage but not required. We value a collaborative mindset, strong analytical and problem
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in one or more of the following thematics is considered an asset: plasma physics, hydrodynamics, inertial confinement fusion, laser physics, X-ray science) Familiarity with X-ray imaging techniques and
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industrial environmental burden of our generation. Disruptive innovations are required for alternative reduction processes that convert mineral ores into metals without today’s carbon-based methods
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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PhD position (3 years) Participation in an international research collaboration Access to cutting-edge technologies, including spatial transcriptomics and advanced imaging A dynamic and collaborative
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on the development of our real AI-based automated shuttle (see image) with Autoware -stack for deployment on public roads, while researching and developing dependable automated driving systems based on software and
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local activation), multi-timescale adaptation (local memory), and stimulus-specific adaptation (multi-task processing). While the co-optimization of dendrite-inspired functional circuits with emerging
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and NV-centres in diamond. The characterisation methodology will be developed, feeding into the creation of a prototype device. Job requirements and responsibilities: Characterisation of novel chip
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underlying these processes remain poorly represented. This PhD project aims to fill that gap by using molecular simulations to quantify the interactions of SOM and EPS with water and minerals, and to connect