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on poplar, a fast-growing model tree of major economic importance. The thesis will use the CRISPR-Cas technology to edit poplar genomes and combine rapidly favourable alleles to carbon sequestration and water
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Involvement and Engagement (PPIE) models or frameworks. Desirable: B1 Knowledge in decolonial/culturally sensitive approaches in Arts and Health research. Skills Essential: C1 Sufficient depth of relevant
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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specialized knowledge or expertise not generally required of or found in the classifications established by the District. Must be specially trained, experienced, or competent to perform expert services
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Knowledge of higher education budgeting best practices. Instructions to Applicants: For full consideration, applicants must apply for the Data Analyst at https://jobs.gmu.edu/. Complete and submit the online
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guidelines and data protection regulations (e.g., GDPR) for handling data on minors. 2. Statistical and Predictive Modeling Knowledge in statistical analysis and data modeling (regression, mixed-effects models
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strategic leadership and operational oversight for the University of Washington's consolidated finance hub model (Husky Hubs). This position directs the transformation and ongoing management
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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Higher Education, this would ideally include assessment, curriculum planning and pastoral support. With core subject knowledge in ceramics and glass practices, you will be able to deliver excellent
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experiments in particle physics. Join Us! We are seeking a PhD candidate under the supervision of Jordy de Vries who focusses on precision calculation for low energy searches for beyond the Standard Model