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on the ERC project and your own research interests. You will apply state-of-art methods of social network analysis, such as Stochastic Actor-Oriented Models (training will be available). You will produce high
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences stress, anxiety
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work with in vitro and in vivo models of genetic diseases would be advantageous. Please see the below 'Job Description' for further details on the role, responsibilities, and selection criteria, as
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candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities
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plan to use these data to identify the virus and make inferences about potential human infection and transmission. This will involve analysis of viral evolution, simulation of potential scenarios and
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and skills of the successful applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods
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will 1) develop a hydrofibre based dressing loaded with AMP and perform confirmatory spectrum-of-efficacy studies using established wound models; and 2) compile a robust regulatory package including in
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, control theory and contemporary stochastic volatility modeling. The successful candidate will cooperate with the members of Christa Cuchiero’s group as well as with the associated research groups
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of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to contribute to the development, optimisation and implementation of an automated workflow