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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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Dr Maria Secrier and be embedded within the dynamic and collaborative research environment of the UCL Genetics Institute. The position offers a unique opportunity to work at the interface of cancer
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. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of coarse-grained models that can be analyzed and simulated. Strong applicants with backgrounds
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