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software to the online reconstruction of events in the High Level Trigger. Qualifications We are looking for motivated candidates who meet the following requirements: MSc degree in physics, or a closely
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, including (but not limited to) longitudinal survey research, (automated) content analysis, and experiments; proven proficiency in statistical software such as SPSS, Stata and/or R; a scientific mindset
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high-impact inventions in analog filters, thermal noise cancelling amplifiers, ultra-low power analog to digital converters, software-defined radio, mixer-first receivers, N-path filters and sub-sampling
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diverse empirical tools. Analyze rich datasets to reveal how key events influence behavioral trajectories. Maintain transparent scientific records, including developing software repositories for data
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, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics
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to deal with making implementation decisions in their daily activities as asset manager, investor, construction manager or area developer. Transitions should therefore not be governed in isolation but
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engineering, system engineering, or related fields. Solid background in process safety, quantitative risk assessment, and simulation methods. Experience in programming and/or safety analysis software. Familiar
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, including developing software repositories for data processing. Present your findings effectively to both academic peers and the general public. Contribute to academic excellence at Leiden University by
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records, including developing software repositories for data processing. Present your findings effectively to both academic peers and the general public. Contribute to academic excellence at Leiden
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systems, focussing on the inclusion of thermal aspects. You can leverage a large body of existing research and software for the efficient simulation of complex geometrically nonlinear mechanical elastic