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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 21 hours ago
methods for image classification including machine learning and deep learning. You will develop clear workflows that allow for regular update of the derived models and maps. Furthermore, you will work
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100%, Zurich, fixed-term We have an open PhD position in Human-Computer Interaction with a focus on intelligent and adaptive systems for Augmented Reality, Mixed Reality, and Extended Reality
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understanding of travel behavior and mobility. Our research has strong conceptual and theoretical foundations, is ideally based on primary data, uses a mix of methods, and tries to infer causality as strongly as
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languages (in addition to Python) Experience with signal processing Familiarity with experimental design and empirical validation methods optional but useful: prior experience with AR/VR and Unity/Unreal
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future scenarios. Specifically, we will use spatially explicit surrogate models, which can accurately approximate the complex outputs of computationally expensive transport simulations in a fraction of the
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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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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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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
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory develops methods and tools to model, design and assess energy systems at various scales with a focus on energy hubs
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(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and