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Field
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probabilistic modelling Familiarity with stochastic processes (e.g., Markov chains, stochastic differential equations) Prior exposure with Transformer architectures or large-scale sequence modelling Prior
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perform biotransformations on a multi-gram scale. This is a highly interdisciplinary project at the cutting edge of enzyme engineering research and will offer diverse training opportunities for a post
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. The gross salary for the first year is € 3,059.- per month rising to € 3,881.- in the fourth year in according to the Collective Labour Agreements for Dutch Universities (CAO-NU) (scale P). This is based
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cognitive priors that bias evidence accumulation and action selection during normative decisions. The empirical backbone of the project is a large-scale cross-cultural study spanning 20 societies and two
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) are generally possible by agreement and in line with tasks and on-site requirements The position is initially limited to 3 years. Depending on your qualifications and assigned responsibilities, you will be
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hazardous precious metal catalysts. Delivered high-performing biocatalysts Engineered industry-ready enzymes suitable for large scale pharmaceutical manufacturing. We’ve also helped shape national policy. In
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an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. Robotic metal additive manufacturing offers transformative potential for flexible, large-scale, and high
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epidemiology, public health, physical activity/exercise science or health science. Formal training or prior experience of evidence synthesis and/or the analysis of large-scale epidemiological data would be
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silicon carbide (SiC) technologies — are critical enablers of HVDC transmission, renewable integration, transport electrification, and large-scale industrial power conversion. Advancing these technologies
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London School of Economics and Political Science; | London, England | United Kingdom | about 1 month ago
merging from large-scale microdata sources (e.g., electricity grid operational data, environmental emissions data, vehicle registrations, company accounts). Conduct data analysis using econometric and