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Field
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, without the use of simulation software familiar to process engineers. In this thesis, we aim to: - Propose generative models for other types of cycles, based on existing models. To do this, we could use
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, focus groups, surveys, ethnography, participatory mapping, and document analysis. To examine extreme weather event impact and management from the perspective of residents and stakeholders. The supervisory
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programming (MATLAB/Python) and/or structural analysis software (e.g., OpenSees, ABAQUS) is highly desirable Willingness to participate in experimental testing campaigns and multi-national secondments
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. The researcher will use mixed methods, including data from knowledge tests, attitudinal surveys, and focus groups to investigate how the tools function and how they can be improved. The researcher will also
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title: InSEPSia: Innovative methods for early diagnosis of sepsis based on multiparametric biomarker analysis. Project description: The research involves the search for a diagnostic test for sepsis. Early
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minimum decision-making requirements. Objective 4: Test the developed approach using real-world data from BAE Systems to evaluate its effectiveness and refine the framework. The project will use tools
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+C). You will extend the existing core-level GW+C implementation in the FHI-aims software package. Currently, this approach is limited to molecules; your task will be to adapt and expand it for
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using statistical software. Prepares reports and presentations based on research findings. Collaborates with team members. Contributes to project discussions. Supports administrative tasks related
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engineering, structural dynamics, basic isolation, finite element modelling. Proficiency and/or interest in programming languages (e.g. MATLAB, Python, R) and software platforms such as OpenSees, ABAQUS, LS
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new nationwide AI system can be predicted using generated data sets of different sizes and measuring the environmental impact. This impact can be measured and calculated by our Software Energy Lab