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will include: Assemble and validate modular electrocatalytic reactors and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect
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scientific excellence in the areas of vector query processing, serverless/just-in-time query execution, parallel and distributed data management, and data management systems on emerging hardware Passionate
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tailor their work toward one or more of these focus areas, depending on their expertise and interest. They will also support parallel developments led by PhD students, ensuring coherence in the beam
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drastically reduces power and latency. We are looking for a Postdoctoral Researcher / Research Engineer with a background in Embedded Systems and Low-Level Programming to design the control logic that
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programming languages and frameworks such as Python, PyTorch, or TensorFlow is an advantage Fulfillment of the formal admission requirements for doctoral studies at the University of St. Gallen
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programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely related fields
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Information Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment
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generative AI, such as diffusion models, flow matching, normalizing flows, VAEs, generative transformers, or related methods. Strong programming skills and experience with modern deep learning
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assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is planned for 3 years
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include: Strong programming skills, preferably in Python and/or R, with experience building reproducible data-analysis workflows. Excellent quantitative and statistical reasoning, including a clear