19 phd-position-software-engineering Postdoctoral research jobs at University of Liverpool in Uk
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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This position is for a Postdoctoral Research Associate on the EPSRC New Investigator Award `Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists¿, a project
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minority, people with disabilities and people from LGBTQ+ communities, as they are currently under-represented in the Department of Electrical Engineering and Electronics. If you are still awaiting your PhD
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, including engineers and veterinarians, to assess the effectiveness of the AG ARC machine. About You This position is ideally suited to a microbiologist with strong laboratory skills and an interest in applied
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in Python, working with high-performance computing clusters, and implementing reproducible research workflows. The position requires expertise in prokaryotic genomics, strong statistical and
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engineering materials. We are looking for a Postdoctoral Researcher with specific expertise to join the team and rapidly lead the development of a strategically important area of applied research. Collaboration
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PhD in a relevant scientific discipline, for example, Cell Biology-related subject, Tissue Engineering or Biomaterials. Excellent manual dexterity and experience in cell culture and models, and tissue
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31 August 2027. You should have obtained a PhD, or passed PhD viva, in Materials Science, Chemistry, Mechanical Engineering, or Chemical Engineering. If you are still awaiting your PhD to be awarded
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epidemiology, data science, and policy to produce high-quality, policy-relevant evidence with real-world impact. You should have a PhD (or near completion) in public health, epidemiology, data science, applied