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to detect health risks to humans and the environment, to better understand pollutant dynamics, and to achieve a molecular-level understanding of complex systems. Project A major challenge facing our society
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admission requirements and placement records, can be found at https://feb.kuleuven.be/ research/PhD/businesseconomics/Business The Department of Accounting, Finance & Insurance offers a dynamic, stimulating
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of synchronisation and complex dynamical systems; • Ability to work independently while contributing effectively to an interdisciplinary team. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5263
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magnitude, spatial distribution and temporal dynamics of mechanical cues shape cellular responses. You will investigate an integrated cell–material system in which living cells are mechanically coupled to a
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The project The bacterial Type 6 secretion system (T6SS) is one of the largest dynamic assemblies in Gram-negative bacteria. It shares evolutionary origins with contractile phage tails and other
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 20 hours ago
atmosphere in a very dynamic and professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and
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standard simulation methods. This PhD topic falls within the area of computational materials science and will involve the use of established methods such as density functional theory and molecular dynamics
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and ecological impact Experience with Experimental or Computational Tribology, Computational Fluid Dynamics and/or data analysis is desirable Excellent written and spoken English An enquiring and
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of assessing microstructural homogeneity, which is increasingly important for product-scale electrolytes. The PhD candidate will join a dynamic, interdisciplinary research team working at the interface
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dissipative networks. We will view learning as a feedback interconnection of continuous-time (circuit) dynamics and an optimization algorithm. The key idea is to develop algorithms that minimise cost functions