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of these. Applicants should demonstrate methodological rigour and propose statistical methods appropriate to the research questions and data. Mixed-methods, qualitative, participatory, design-based, or intervention
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realism and interpretability? You will join the Choice Modelling Centre to develop AI-assisted methods for specifying, estimating and validating discrete choice models. The project aims to bring together
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
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using X-ray coherent diffractive imaging and nanofabrications methods in two inter-related sub-projects. In one the student will manufacture structured ferroelectric films for demonstration of our newly
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electrolysers (PEMWEs) across three key areas: Developing standardised sampling and analysis methods to measure PFAS emissions in liquid, gas, and aerosol streams and validate PFAS release during system operation
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 12 days ago
€ 1359.64, being the payment method by Wire Transfer. Eligibility criteria Admission Requirements: To hold a master degree and be enrolled at a course that does not award an academic degree and it is
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of devices under repeated mechanical deformation. Familiarity with microstructural, chemical, mechanical, and electrical/electromechanical characterisation methods for materials and interfaces; data-analysis
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proteins, nucleic acids and their complexes through an integrative structural biology approach. The laboratory combines experimental and computational methods to understand biomolecular structure, dynamics
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communities. Working alongside leading researchers in a supportive, inclusive and innovative environment, you will play a key role in advancing high-quality mixed-methods research, fostering meaningful
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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as