12 postdoctoral-image-processing-in-computer-science PhD positions at Manchester Metropolitan University; in Uk
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. Applicants from Engineering or Chemistry backgrounds are also encouraged. Practical experience in at least one of the following: design, manufacture, and operation of Lab-on-a-Chip devices; DNA analysis; work
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-grade undergraduate degree (first class or upper second) in Computer Science or MSc in related field. Skills Knowledge of programming, Computer Science, Computer Vision, Machine Learning, or related
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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. Specific requirements of the candidate The successful applicant is expected to have: An honours degree at first or upper second-class level in Cyber Security, Artificial Intelligence, Computer Science
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Computer Science, Electrical Engineering, Cybersecurity, or a related discipline. Strong programming skills (Python or similar). Knowledge of AI/ML concepts and techniques. Understanding of cybersecurity
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operation, is not considered in the CMF model due to the challenge to solve the multiple partial differential equations simultaneously. With the support of the combined sponsorship from the university and
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restoration success and flood resilience elsewhere. Current models treat sites in isolation, lacking tools to predict these feedbacks. This three-year PhD will develop and apply cutting-edge numerical modelling
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of the candidate A first-class or upper-second-class degree (or equivalent) in physiology, nutrition, biomedical science, exercise science or a related subject. A keen interest in human metabolism, physical
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multidisciplinary supervisory team spanning engineering, ecology, and environmental science, with access to state-of-the-art laboratories, field sensors, and data-analysis facilities. You will also join Manchester
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expected to have a first or upper second class level degree (or equivalent) in a relevant subject (e.g. sports science, kinesiology, biomechanics, engineering, physiology, human biology, psychology, zoology