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experience in programming languages such as R, Python, and familiarity with NLP tools and techniques (essential) Proven track record in handling and analyzing large healthcare dataset (essential) Track record
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years from receipt of their doctoral degree. Experience with a statistical software package (e.g., SAS; Statistica; R; SPSS; Matlab). Desired Qualifications Evidence of effective communication skills
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@uq.edu.au for accessibility support or adjustments. Applications close on Monday, 12 May 2025 at 11.00pm AEST (R-49917).
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with methods for causal inference Familiarity with administrative register data or other types of big data Familiarity with Stata, R, or other relevant computing languages Personal skills A collaborative
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
integration, processing, and modeling. Familiarity with research methodologies related to innovation and sustainability. Competence in programming languages such as Python, R, or Stata. Contact information
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promoting diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close 19 May 2025 at 11.00pm AEST (R-48133). Please note that interviews have been tentatively
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analysis with other complementary methodologies, such as structural MRI/DTI, EEG/ERP, eye tracking, and/or psychophysiology. Scripting and programming skills (e.g., R). Evidence of independence in fMRI
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to work independently and collaboratively in multidisciplinary teams Desired qualifications Crispr Crispr / siRNA screens Proficiency in programming (e.g., Python, R) Experience with high-throughput
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software such as R, MPlus, etc.) 5. Demonstrated experience with dissemination (i.e., writing publications and/or presenting at conferences/workshops) 6. Demonstrated strong verbal and interpersonal
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software such as R, MPlus, etc.) 5. Demonstrated experience with dissemination (i.e., writing publications and/or presenting at conferences/workshops) 6. Demonstrated strong verbal and interpersonal