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relationships, shape our thought processes, and, importantly, guide our behaviors. This PhD project focuses on evidence-informed educational innovation. Using a solid theoretical foundation for CLMA, it will test
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Program (PRR Workplan: (1) Numerical simulation of the behaviour of connections between prefabricated concrete walls using finite elements; (2) Case study analysis; (3) Processing and analysis of results
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between crystallization processes and the power output of a heat storage? Are you inspired by thermal storage solutions to boost the energy transition? Information In your project, you will contribute
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of eligibility requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at https://arts.monash.edu/graduate-research/application-process . Applicants
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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-operation with the supervisor and other faculty members from the department. Projects joint with faculty members often involve collaborators from other research institutions. Candidates also participate in
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Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
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, including a high level of English language proficiency. Candidates should satisfy the selection criteria set out by CSC Application procedure Please submit your application via The University
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physics, microbial ecology, plant nutrition, plant physiology, plant ecology, biochemistry, and/or bioinformatics Strong interest in using process-based mathematical modeling to simulate biogeochemical
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website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by clicking ‘Apply now’ below. The application must include the following