The section for Bioinformatics, Department of Health Technology has played a key role in bringing the field of Immunoinformatics forward and establishing it as an integrated part of immunological research within T and B cell epitope mapping and characterization. The successful candidate is expected to contribute to this strong position through front line research and innovation within the field. In particular, the candidate would have demonstrated expertise in machine-learning and artificial neural networks as well as a solid background on immunology. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity with interrogating publicly available resources to develop new computational tools will be highly beneficial.
Candidates must hold a PhD degree (or equivalent).
Candidates should have a well-documented experience within Immunoinformatics and Machine Learning. In particular, the candidate must have in depth knowledge and experience within development and application of artificial neural network predictions method in relation with immune systems receptors.
In the assessment of the candidates, consideration will be given to:
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