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will contribute to areas such as the design and analysis of algorithms (e.g. randomized, quantum, approximation, property testing, online, streaming, sublinear, fine-grained, distributed/parallel) and/or
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environment, and awareness of the FAIR principles and the role of meta-data for research data management. 2. Experience of some of the following technologies: tape storage, object storage, parallel file
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computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics, networking and mobile computing, parallel and high-performance computing, software engineering
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histological techniques and immunocytochemistry confocal microscopy transmission electron microscopy image analysis using dedicated software (eg Neurolucida for confocal, Neurolucida Explorer, Meta Morph and