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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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-fast, low-energy optical interconnects in collaboration with Microsoft and two Finnish SMEs. The project focuses on development new optomechanical control methods for macroscopic quantum states of light
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-DPH-2025-13. The supporting
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-fast, low-energy optical interconnects in collaboration with Microsoft and two Finnish SMEs. The project focuses on development new optomechanical control methods for macroscopic quantum states of light
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applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder
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related field, and will have experience with cell-free protein expression systems, protein engineering, high throughput screening and lab automation. Extensive experience with recombinant protein expression
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are used in beauty and hair care formulations to provide functionalities including pH, stability and viscosity control, sensory profile, texturing and structuring. In this project, we are seeking to develop
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includes projects in biomedical instrumentation, experimental hardware automation and programming, and computational science. Scientific publications in a relevant area are considered a significant benefit
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to their potential for electrical control of quantum phenomena. The ultimate goal of this PhD project is to design of functional multiferroic superconductors by combining superconducting, magnetic, and ferroelectric
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control and direction of Orygen. You consent to the University disclosing to Orygen your personal employment information solely for the purposes of facilitating your secondment to Orygen, and that