245 postdoc-in-postdoc-in-automation-and-control-"Multiple" Fellowship positions in United Kingdom
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contribution to the direction of research programmes in the Power Electronics, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research plan in developing
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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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modelling and spatial mapping approaches to join our team of academics working on decision support systems to improve schistosomiasis preparedness and control during development of water management
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mapping to join our team developing decision support systems for improved schistosomiasis control during water infrastructure projects. About the Role Schistosomiasis often spreads in areas with water
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combining some expertise and / or interest in the following areas: robotics, electronics design, control interfaces, automated chemical synthesis, solid phase synthesis, and molecular design. We are looking
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neurodevelopment and neuronal stress responses. The postdoc will be responsible for culturing and differentiating iPSC lines, and carrying out various manipulations using genome editing, viral transduction
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are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants
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Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre
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chemical synthesis for drug design and evaluation with skills combining some expertise and / or interest in the following areas: robotics, electronics design, control interfaces, automated chemical synthesis
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of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing