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- University of Groningen
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- Delft University of Technology (TU Delft); yesterday published
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to develop non-animal methods (NAMs) to replace traditional
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, epidemiology, health policy, or a related discipline. Demonstrated ability to conduct literature reviews. Skills in qualitative research methods (e.g., interviews, focus groups, Delphi studies) and/or
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mixed method approach is crucial, meaning that both quantitative and qualitative research methods will be used; Leading and collaborating in project teams of varying size and complexity, from small WUR
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different communication channels (speech, gesture, gaze, prosody, etc.) work together, and developing AI methods to model these signals. Below are a few example research directions that applicants can
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mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal
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mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal
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require the design of architectures suitable for real-life problems. Moreover, appropriate mathematical methods, algorithms, and applications are required. Simulators are a recognized method for
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the system dynamics as dictated by demand-side management. Input from consortium industry partners on component, operational and other costs will be used to validate the techno-economic models and quantify
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storage systems at any time interval required to capture the system dynamics as dictated by demand-side management. Input from consortium industry partners on component, operational and other costs will be
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“hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal > Familiarity with classical statistical methods and knows when and how to apply them in a rigorous