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. Qualifications: You should have (or be close to achieving) a PhD degree. Background within computational methods for inverse problems, ideally tomography. Experience with development of numerical implementations
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safeguarding systems, to promote the welfare of young people in places where they spend their time. In September 2025 the programme will formally be established as an interdisciplinary research centre
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measurements, and load measurements. Proficiency in computational methods, such as finite element analysis (FEA) and computational fluid dynamics (CFD). Experience with data acquisition and analysis using
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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which
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employ skills in graphic design, mixed methods research, and scientific communication. Northeastern’s Roux Institute offers an academic research environment combined with access to end-users who bring real
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such as data scarcity, cultural sensitivity, inclusivity, and the need for robust preference optimization methods that go beyond standard fine-tuning. Key research objectives include: Developing Efficient
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the Zhivagui Lab. Our lab uses computational and experimental methods to determine mechanism-based biomarkers for exposure and risk stratification to advance the understanding of cancer causation and
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resource recovery pipelines You will contribute to the translation of structural and biophysical insights into technologies or methods for transforming recovered biopolymers into valuable products or process
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. Traditional methods for coating and stabilizing LFP cathodes often face limitations in durability and electrochemical efficiency. This research aims to overcome these challenges by applying innovative coating
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Experience in computational methods and statistical analysis. A track record of both independent initiative and effective teamwork. Clear argument for alignment with career trajectory/goals. Additional