1,788 data-"https:"-"https:"-"https:"-"https:"-"Uppsala-universitet" Fellowship positions
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of migrant nurses, providing valuable information on the nations that migrant nurses pass through, the time they spend in each place, and how their migration patterns might shift in response to recruitment
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genomics research. You’ll lead the creation of a comprehensive Sugarcane website, hosting key genetic and genomic data to support Australian breeders and researchers. This role offers hands-on experience in
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expectations and evolving professional and creative sector demands, including the implications of generative AI. The Fellow will design and carry out research activities, including data collection, analysis, and
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oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance
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information for three (3) references; Cover Letter, describing your current and future research interests, as well as your expected start date for the position. In addition to submitting your application
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testing, instrumentation, data acquisition systems, and numerical or analytical modelling of fatigue damage will be considered an advantage. motivation and potential for research within the field
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, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches, the project will provide practical models for hazard
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months. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details and upload a copy of your CV. Please contact Prof Ricky Wildman
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disciplines or an equivalent qualification. Applicants are invited to contact Prof. A. Ping Zhang at telephone number 3400 3336 or via email at azhang@polyu.edu.hk for further information. Conditions of
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catalytic systems. The postholder will develop and apply advanced simulation techniques, analyse molecular simulation data, and contribute to collaborative research combining computational modelling with