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Field
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or quasi-mechanistic models Multi-Agent AI Systems for Scientific Discovery: Pioneer the development of multi-agent computational systems where specialized AI agents collaborate to solve complex genomic
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delivering complex research projects, with strong analytical, computational, and laboratory capabilities. Demonstrated ability to communicate research findings effectively through presentations, publications
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The impacts of digitisation and AI – especially on human health and business ethics Well-being and ageing Net zero, climate change and business resilience/adaptation Climate finance Contact point for inquiries
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). Informal enquiries can be made to Dr Anna Bobak, email: a.k.bobak@stir.ac.uk The post holders will join the Cognition in Complex Environments Research Group in Psychology. https://www.stir.ac.uk/about
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of quantitative, experimental, and clinical scientists. ● Present complex results clearly and concisely to diverse audiences. Who You Are ● You have a Ph.D. in Computational Biology, Bioinformatics, or a related
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. Adjusting to unfamiliar situations, shifting demands and changing roles. Using resources effectively Identifying and making the most productive use of resources including people, time, information, networks
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complex properties. You will apply these models to improve tomographic image reconstruction using numerical optimization and iterative techniques. Collaboration is at the heart of the Crick’s culture. You
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written and presentation skills, along with strong organisational skills to manage complex projects. Collaborative and innovative mindset: Commitment to teamwork, ethical research, and innovation, with a
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with a truly global impact. With state-of-the-art museum collections and lab facilities, many inspiring colleagues and access to our international network, Naturalis offers everything you need
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
; systems and control theory; autonomy; quantum systems; and complex networks (including networks of dynamical systems, communications networks, and social networks). CIICADA Lab is at the forefront of major