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requirements Master Degree in Electrical Engineering or similar. Grade of 8.5 or higher on MSc thesis exam. Experience with FEM tools (COMSOL and Sentaurus are ideal). Extensive experience with developing
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a forward-looking research institute, with expertise in a wide range of fields and strong communities of knowledge. We deliver research and innovation in energy, health care, climate, the environment
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, alongside other major global pathogens including hepatitis B and C viruses, HIV, SARS-CoV-2 and Dengue. The postholder will be responsible for designing and optimising sequencing approaches, leading data
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: Full Time Closes: 7 January2026, 23:59 GMT Application link: https://www.essex.ac.uk/postgraduate/research/doctoral-training-partnerships/aries ARIES (Advanced Research and Innovation in
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driving microbial control of soil–atmosphere interactions. Your work will include manipulative field and greenhouse experiments, laboratory analyses, and international collaboration. The project builds
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Degree or equivalent Skills/Qualifications Master s degree (or equivalent) in Psychology, Cognitive Neuroscience, Computational Neuroscience, or other relevant areas. Experience with brain signal analysis
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environmental toxicology and early detection of neurological effects. The candidate will gain hands-on experience with cutting-edge techniques, including molecular and cellular biology, manipulation of neuronal
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channels. The goal is to uncover hidden tracking practices that operate across ecosystems (e.g., mobile, web, IoT, and smart TV environments) and to design scalable analysis and mitigation frameworks
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Would you like to work at the intersection of transportation, robotics and machine learning to design mixed fixed-flexible transport networks? Job description The increase of public transport usage
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, and knowledge engineering, with applications in knowledge capitalization, recommendation systems, and the design of narrative virtual environments. This PhD project aims to explore the use of Mixed