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will focus on developing and applying Bayesian statistical models to investigate and predict biofouling patterns to enhance our understanding of how environmental factors and antifouling technologies
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, including working with multivariate data. Substantial experience in code development and, preferably, experience with Bayesian statistical modelling techniques and software. Willing to develop expert
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. Butler, C. Goncu, and L. Holloway. Tactile presentation of network data: Text, matrix or diagram? In CHI2020, pages 1–12, 2020. I. Zukerman et al.˙Exploratory Interaction with a Bayesian Argumentation
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to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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components of these foods that contribute to cognitive health, or the mechanisms involved. Identifying these specific components and mechanisms will improve targeted dietary approaches to enhance cognitive
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to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film
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is that autophagy flux, a measure of the degradative capacity of the cell, is disrupted and enhancing this pathway is a promising therapeutic target. Our research includes both lab-based studies using
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that celebrates one another's differences and fosters a culture of understanding and support. They do this through targeted initiatives that support an inclusive environment, drive a culture of wellbeing and
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external to the organisation to leverage strategic relationships and achieve targets. Highly developed interpersonal and written communication skills including experience in the preparation of effective