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of our ongoing projects, we are advancing robotic machining capabilities through the integration of secondary axes and improved force control. Your main task will be to design, build, and calibrate an end
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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research
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initiatives. Stakeholder Engagement and Representation : Represent Biogen in local industry, scientific, and patient forums to build strong partnerships and enhance the company’s presence across the EU
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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
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research and its efforts to put new knowledge and innovations directly into practice. The Laboratory of Metal Physics and Technology (LMPT), part of the Department of Materials at ETH Zurich, conducts
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compliance with legal and ethical standards. Implementing a digital pharmacy expertise network, particularly within the University Hospitals of Western Switzerland and the Institute of Pharmaceutical Sciences
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organization (pRED) , we make transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into
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, manufacturing, quality, and regulatory affairs. This individual will be part oft he leadership team and collaborate closely with the executive team to build scalable processes and ensure that our products
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offer unprecedented flexibility and productivity to modern manufacturing systems. Additive manufacturing processes involve complex physical and chemical interactions that need to be executed with high
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of molecules and catalysts. Project background Cycloaddition reactions are among the most valuable synthetic tools for building molecular complexity, as they can form ring systems with high atom