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and methods for energy systems integration of the AI agent with energy system models methods for transparency, explainability, and uncertainty handling applications in case studies related
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applying methods such as genome editing, live-cell imaging, and/or biochemical assays will be valuable, as the project involves perturbing protein localization in human adipocytes and assessing downstream
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molecular simulations. Previous hands-on experience in more than one of the following methods is considered an advantage: molecular simulations, Python programming, machine learning, or quantitative analysis
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on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in
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noble-metal tellurides. The researcher will work together with PhD students, postdocs, and a research engineer, to perform the experiments. Description of the work duties: to perform synthesis
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analysis, and greenhouse experiments. Analyse ecological and evolutionary data using appropriate statistical methods Collaborate with an interdisciplinary research team and contribute to group discussions
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has a well established reputation for wide-ranging research with an emphasis on long-term processes, and with economic theory and quantitative methods as important methodological tools. Strong research
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the Netherlands. Data generation including field observations and interviews. Analysis using qualitative social science methods. Active participation in project workshops, meetings and public engagement activities
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. With cutting-edge research, top-tier education, and extensive collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational
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collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational modeling and simulation, as well as patient-focused and policy-related