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focus on the design, development and evaluation of such tools. Key Responsibilities: Lead research into Real-world Deepfake Detection, Image Forgery Detection & Localization, and Multimedia Forensics
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Development Concordat which means we will endeavour to support the post holder to develop their research career, including through 10 days of dedicated development time per year’ (pro rata). Role Summary Work
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alloys produced using additive manufacturing technologies. You will work close with Dr Qiyang Tan and Prof Mingxing Zhang and contribute to alloy development using computational materials science, applying
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to provide academic guidance and career development, while maintaining full independence in their own research. This three-year appointment offers early-career scholars the opportunity to establish themselves
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experimental workflows to support project milestones related to microbial detection and biosensor development. Contribute to sequencing-based microbial profiling of environmental and cleaning validation samples
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interatomic potential to incorporate materials response . Resulting models are implemented in LAMMPS and are used to perform ML-accelerated large-scale dynamics simulations to investigate the evolution
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engineering. Proficiency with penetration testing techniques and tools. Proficiency with software scripting and development work on desktop and / or mobile platforms. Key Competencies Self-directed learner who
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of immunotherapy and therapeutic development. In this role, you will drive original research in immunotherapy and biotherapeutics, contributing to the design, development and translation of next-generation
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; access to employee professional development and wellness services ; flexible work arrangements , and more. General Notes Flexible work arrangements are available in the College of Pharmacy. The
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. This position offers a unique opportunity to conduct high-impact research embedded in global guideline development and evidence-to-practice initiatives. The fellow will work within an international network