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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive
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accurate electronic lab notebook. • Perform rigorous analysis and interpretation of complex datasets. • Prepare manuscripts for publication in high-quality, peer-reviewed journals. • Present research
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. Knowledge and experience of physical testing would be an advantage. The sucessful candidate is resposnible to provide insights into this complex soil-structure interaction problem through numerical modelling
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to collaborate, take part in network events and undertake research placements within this project. You will have a PhD in Physical Sciences or a closely related field, and you will have a background in the
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/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and
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can international regulatory and reporting standards reflect the actual environmental damage from AI use? What networks have been formed to influence regulation? How can we identify the ‘real cost
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from 15th December 2025 or as soon possible thereafter. Job description This is a research position within a project focussed on quantifying small molecule concentrations in complex media (e.g. food
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, Heidelberg and Mannheim, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong
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-relevant media, in the application of quantum information driven tools, such as tensor networks or convex relaxations, to the study of complex quantum systems Excellent command of English, both written and
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background checks may be conducted on qualified candidates for the position. The time-predictable computer architecture group, where you will be embedded, researches computer architecture, network-on-chip, and