1,833 data-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" Fellowship positions
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references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You
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is published. More information is available at: Responsible research assessment - Research - Cardiff University Job Description Main function To develop and deliver research projects, contributing
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will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. Further information For further information please contact Professor Dave
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that these analyses will result in standalone journal papers, some of which you will take the lead in writing. There may also be opportunities to be involved in related mathematical modelling projects, as well as data
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. The role holder will prepare and conduct empirical (mixed-method) research. This will entail all steps from developing the conceptual frameworks and instruments to data collection and analysis. You will
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 9 days ago
(QSAR) models. The selected participant will learn to harvest and interpret toxicology data, develop and apply QSAR models, and communicate research results to both internal and external stakeholders
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information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your
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NTU’s College of Humanities, Arts and Social Sciences (CoHASS) includes four schools: Humanities; Social Sciences; Art, Design and Media; and the Wee Kim Wee School of Communication and Information
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, RedCAP building and record maintenance for secure data entry, and the Clinical trial management system (CTMS). patient data management in accordance with IHC-GCP requirements, the candidate must
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experience in at least three of the following: developing watershed model input datasets, geospatial analysis, applying large-scale hydrologic models, artificial intelligence and machine learning, computer