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Field
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-error approach due to a lack of comprehensive hormone testing data. This project aims to demonstrate that frequent hormone monitoring, combined with education and symptom monitoring, will improve
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implement a combination of metagenomic sequencing techniques to comprehensively characterise baseline levels of microbial pathogens in wastewater and surface water and compare our findings with data
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engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine prototype development would be advantageous. Eligibility and Application
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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have a 1st class degree (BEng or MEng/MSc) in electrical/mechanical engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine
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that facilitate seamless integration between AI hardware components and embedded systems, ensuring efficient data flow and processing. Cranfield University offers a distinctive research environment renowned for its
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a focus on meat and dairy promotion. In partnership with Adfree Cities, the student will investigate: (1) the link between advertising exposure and mental health using large-scale secondary data and
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satellites to be much larger than ever before, enabling applications previously considered to be science fiction. Space-based solar power (SBSP) will require satellites with dimensions at the kilometre scale
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. The project will thus reveal whether bacterial factors are driving the recent increase in CDI rates. This information can be used to develop novel prevention and treatment strategies. This project is part of
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production. Candidate Profile: We are seeking an ambitious and highly motivated candidate with a strong background in applied and quantitative ecology, environmental science, biology, or a related field. The