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, Engineering and the Built Environment Application Deadline: 22 July 2025 Job Duration: 12 months Birmingham City University (BCU) a leading institution committed to Equality, Diversity, and Inclusion (EDI
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in what capacity these enzymes can be engineered for new functions. Prior experience with heterologous protein expression and purification, is required for candidates under this theme. Applications
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communities, such as the human gut microbiome. This role will use a combination of microbiological, genetic and analytical techniques to isolate and engineer bacteria for use as next-generation probiotics
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an interdisciplinary community of neurobiologists, engineers and computational scientists. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further
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Safety aspects of the work to agreed standards. Accurately record results, providing analysis and presenting findings to academic colleagues. Be able quickly to adapt and transfer skills to new technology
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to develop coupled sub-models within a system dynamics framework. Working with colleagues from the Karlsruhe Institute of Technology, the candidate will build a behavioural sub-model using the CRAFTY GB model
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such as cancer biology, immunology, or genomics. Strong communication and collaboration skills are essential. Experience working with genetically engineered mouse models is desirable. Applicants
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the changing geography of computational infrastructures and understanding how it is shaped by the interaction of technology companies’ business interests and states’ economic and security interests. The project
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involves assessment, treatment, rehabilitation and prevention of pain, injury, or any other physical dysfunction, through the use of education, exercise, manual therapy, electro-physical agents, technology
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technology and innovations and work flexibly across laboratories as required. Analyse and record data to aid the design of future research Take responsibility for self-development and on the job learning