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pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in Latin, contributing to the creation of a 100-million-token annotated corpus
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, which involves building a large corpus of Latin texts (data collection and pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in
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demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare
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populations. Knowledge of real-time control algorithms for assistive or rehabilitation systems. Experience contributing to patent applications, translational research, or spin-out formation. Downloading a copy
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algorithms, ideally in the healthcare or mental health domain Desirable criteria Track record of successful research grant applications, or attempts to obtain grant funding. Previous development of ML-based
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genetic therapeutics. Within this centre, the Lieberam group investigates nerve muscle connectivity and disease that affect neuromuscular systems and cortical circuitry, using human iPSC-based tissue
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manuscript within the lifetime of the appointment. Advanced microscopy, cutting-edge biophysical techniques and genetically engineered mouse models will be used. The labs are well-established and located in
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techniques and genetically engineered mouse models will be used. The labs are well-established and located in the vibrant and supportive environment of the Centre for Craniofacial Regeneration and Biology on
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on the perturbation of skeletal muscle cells (myofibres) during periods of environmental and/or genetic influence (ageing, amyotrophic lateral sclerosis, sex differences…) and in the analysis of single myofiber data
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candidate will lead computational lab analysis work across multiple projects, largely focussing on the perturbation of skeletal muscle cells (myofibres) during periods of environmental and/or genetic