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Theory, Department of Environmental and Energy Sciences. Become a part of the team and contributing to research on current and future mobility service usage and attitudes among car and non-car owners
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years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language processing
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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administrative tasks. Developing proposals for projects and securing external funding Providing academic guidance to a group of early-career researchers Your profile a successfully completed PhD in physics
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discipline (e.g. Environmental Engineering). Experience in economic and interdisciplinary modelling, sectoral and integrated assessment, or policy-oriented simulation of climate, natural resource, and agri
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hold a PhD degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field or can document equivalent scientific qualifications at PhD level. Your research profile
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Chemistry, Physics, Electrical Engineering or closely related field Research experience with electron paramagnetic resonance instrumentation Preferred Qualifications Experience with design and testing
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
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molecular biology, immunology, biomedical engineering, or related field. Consideration to interview will also be given to applicants who are completing their PhD in molecular biology, immunology, biomedical
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