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of machine learning and optimization methods in manufacturing. We aim to create intelligent systems for process parameter selection, condition-based maintenance, and human-machine interaction. Job description
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improve our understanding of processes in the built environment and their evolution through interdisciplinary and transdisciplinary collaboration. More specifically, the programme wants to link Baukultur
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collaboration among scientists, IT professionals, and other stakeholders involved in the research process. To achieve its goals, the R-IT group invites applications for a R/Python scientific support role
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match the chemical, mechanical, and morphological properties of native bone. The role of the PhD student at Empa will be the development of synthesis processes using light-based 3D printing of hydrogel
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base funding as well as external research grants. You will monitor and forecast budgets, process invoices, manage credit cards, and prepare financial reports and coordinate audits. You will coordinate
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usage, liaising with other labs for shared resources, and organizing lab space. Assist in grant reporting, covering both technical and financial aspects. Ensure the smooth operation of wet and dry lab
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quantum sensing and information processing, molecular magnetism, spin chemistry, renewable energy conversion and storage, or sustainable chemical production. We seek candidates with an outstanding 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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-party funding. You will carry out research into psychological processes in the context of health and/or rehabilitation, such as affective, cognitive, and motivational factors that promote or hinder
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basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides