333 development-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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for operating and developing a research infrastructure comprising CPU- and GPU-based HPC systems, petabyte-scale storage, scientific web services, secure environments for sensitive data, and emerging AI-related
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80%-100%, Zurich, fixed-term At the Student Project House (SPH) we inspire and empower students to cultivate a maker and innovator mindset. We believe that by developing their own projects, students
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on advancing a breakthrough technology to clinic for non-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform
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processes . Each postdoc will lead their own independent research direction, with an opportunity for close collaborative work. Main duties and responsibilities You will develop an acquisition and
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, macroeconometrics, or economic nowcasting and forecasting Develop, implement, and evaluate new forecasting and nowcasting models using econometric and machine learning methods Analyse large-scale macroeconomic and
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materials synthesis with synchrotron radiation, neutron scattering, spectroscopy and electroanalytical methods. A major research direction is the development of physical methods and models for the description
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particular the development of generative AI technologies such as diffusion models, flow matching, generative transformers, or related architectures. The position is highly methodological and focuses
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of Technology Marketing) and the TUM Campus Munich (Professorship of Marketing & Technology). The two positions (Position A: ETH Zurich - technology & VR development focus; Position B : TUM Campus Munich
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develop socially responsible leaders who have the mindset, knowledge, and skills to integrate leadership and technology challenges to have a significant positive impact on their teams, their organisations
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Sciences and the School of Life Sciences, as well as the EPFL AI Center. We are recruiting two postdoctoral researchers with strong expertise in large-scale AI development and a background in biology. The