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national and international research networks. We are looking for someone with a PhD (or near completion) in a relevant field such as machine learning, biomedical engineering, or neuroscience, with expertise
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departments, and a thriving ecosystem of museums, libraries, and research centres. At Cambridge, our mission is to contribute to society through world-class education, learning, and research. With a deep
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%: Other duties related to teaching of a course. This is a blanket posting for the Department of Electrical and Computer Engineering, and not for a specific vacancy. Applicants will compose a pool for future
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simulations, machine learning and data analysis, and the opportunity to collaborate with experiments. This position would suit a researcher who has recently completed a PhD in Chemistry, Biochemistry
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Magnetics; Micro and Nano Structures; Sustainable Energy Systems, Power Electronics and Drives; Systems and Controls. To learn more about the Department of Electrical and Computer Engineering at
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automated business processes workflows. Situated at the intersection of digital innovation and the built environment, the successful candidate will get to apply their machine learning and software engineering
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techniques relevant to diverse datasets. · Experience with epigenetics, genomics, multiomics, big data and machine learning an asset. · Is willing to learn new techniques and novel analysis methods
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practical knowledge and skills in cutting-edge information technologies. Focusing on innovation and experiential learning, we prepare students at all levels, including PhD, Master, and undergraduate
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our growing team of Associate Lecturers Online to work on our MSc Psychology, MA Education, MBA and MSc Business and MSc Computer Sciences online suites. This fully remote role offers the opportunity
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Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong