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vehicles. Another research focus is on solid-state pulse modulators for medical applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various
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activities, we design programmable cellular implants and nanocatalytic devices capable of responding to a wide spectrum of biochemical cues (e.g., glucose, ATP, disease biomarkers) and physical stimuli (e.g
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data processor. Collaboration: Engage actively with an international team of scientists, engineers, and partner institutions. Communication skills and the ability to work collaboratively are essential
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metallic glasses are a unique class of materials with exceptional mechanical and physical properties, making them highly attractive for advanced engineering applications ranging from biomedical devices
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efficiency, particularly with respect to latency. Project background The successful candidate will join the BMIC team at ETH Zurich and also be a part of the Computer Vision Lab (CVL). The project is conducted
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direct responsibility for both data gathering (manage vehicle, medical devices, frontend and backend systems) and ML development Direct project responsibility and close collaboration with renowned research
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As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural
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career as a principal investigator. Possess a strong track record of innovation in computer vision, AI, and/or causal inference, with a passion for applying these to human model systems. Exhibit
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plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
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science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in