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), psychophysical methods, computational neuroscience methods, machine learning and modelling. Our studies utilise various haptic devices, and mechanical and electrical stimulators. Key skills required: PhD
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nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis
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licence is essential. Car ownership is desirable. To learn more about this position, and view the comprehensive skills and criteria list, a copy of the Position Description can be found by clicking
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, workflow managers (e.g. NextFlow, SnakeMake, etc), statistical analysis and data visualization. Familiarity with data science and machine learning. Familiarity with cellular and molecular biology, such as
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/photovoltaic-and-renewable-energy-engineering/our-research/research-activities/characterisation-defects-machine-learning Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical
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Communications, e.g., beamforming, transceiver design Semantic/goal-oriented communications Machine learning-based ISAC New waveforms and multiple access schemes, e.g., NOMA, OTFS, etc. THz communications and/or