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data. Strong programming skills in R, Python or a comparable language, with a commitment to reproducible research practices. Proven experience collaborating with diverse, multidisciplinary research teams
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, sufficient programming fluency (e.g., Python; familiarity with common ML tooling) to run computational experiments, and excellent communication skills, including writing for publication and presenting results
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programming skills, Python frameworks for ML and real-time audio software • Curating audio datasets, spatial-audio/audio-visual recordings, and ML training/evaluation pipelines • Experimental systems
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statistics. Software frameworks: Excellent programming skills in Python, R or similar, with experience in frameworks such as PyTorch, TensorFlow, JAX, etc. HPC & Big Data: Proficiency in high-performance
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, including Python and/or R, and good programming practices such as version control. You will have a solid foundation in cell biology and knowledge of neuroscience-related themes, including anatomy and
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or machine learning. Excellent programming skills in Python and deep learning frameworks. A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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Knowledge and experience of various statistical packages such as R, Stata, Python Experience with large healthcare datasets or administrative data Understanding of observational study designs and causal
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Knowledge and experience of various statistical packages such as R, Stata, Python Understanding of clinical trial phases and Good Clinical Practice (GCP) principles Ability to adapt statistical methodology
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world class research Essential Application Experience with one or more programming languages (e.g., Python, R, Matlab, Fortran). Essential Application Motivated and self-assured in taking initiative
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datasets (e.g. video, acoustics, clinical records) for predictive modelling and decision support. Proficiency in programming languages such as Python (and/or Java, C/C++), with hands-on experience using deep