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Field
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the opportunity to contribute to the establishment and optimisation of these experimental systems in compliance with regulatory requirements within the host group, collaborate across disciplines, and contribute
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asynchronous AI-led chemical optimisation across chemistry laboratories¿. This role sits at the intersection of robotics, machine learning, and chemistry, aiming to develop robotic systems that work
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an adaptive, self-optimising manufacturing ecosystem where production lines can reconfigure in real-time, in collaboration with domain experts (e.g. operators, planners, designers) that are supported by digital
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biological properties of LATs, including particle size, degradation rate, and drug release profiles. You will build representational methods for APIs and excipients, apply Bayesian optimisation to experimental
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the design, execution, and optimisation of experimental strategies aligned with project goals. - Independently conduct and oversee complex laboratory-based research using advanced molecular and
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, including: i) Using multi-scale (within-host and population-scale) epidemiological models to optimise vaccine dosing (for vaccine development); ii) Improving vaccine targeting and timing for different
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Systems Biology, Bioinformatics, Biotechnology, Biochemistry, or a related field. Applicants should possess experience in metabolic modeling and have proficiency in Python or MATLAB. We value a mindset
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, statistics, and programming languages such as R, Matlab, or Python are highly desirable. Requirements: Candidates should have completed (or be completing) a doctoral degree in psychology or cognitive science
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of samples using biochemical and structural approaches (western blot, negative-stain EM) iii) Prepare samples for cryo-EM (grid preparation, optimisation of vitrification conditions) iv) Interact with cryo-EM
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programming and data analysis using R, Python, MATLAB, or comparable platforms. Skill in oral and written scientific communication, as demonstrated through peer‑reviewed publications and conference