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Field
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam
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diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close Thursday 29 May 2025 at 11.00pm AEST (Job Reference Number: R-49462).
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for Bayesian inference Documented experience with programming in either Python or R. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Fluent
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) University Police (3) University Stores (3) Academic Advising (2) Adv Educ in General Dentistry (2) Advancement Services (2) Alumni Affairs & Constituent R (2) Athletics (2) Auxiliary Operations (2
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programming languages such as Python or R and data-analysis platforms for genomics, proteomics, and transcriptomics. Excellent project management skills. Ability to multitask and work within timelines. Capable
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in behavioral science research methods and statistical analyses. Experience with statistical software (preferably R, others acceptable). Experience with computational/cognitive modeling (e.g
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of epidemiological modelling and data analysis C2 Up-to-date knowledge of epidemiological modelling approaches C3 Knowledge of relevant programming languages for model development, for example Java, R, C++, Julia C4
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.). Demonstrated competence in languages such as R or Python for bioinformatics analyses. Intensely curious about the biology of disease and eager to contribute to scientific efforts focused on understanding
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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and maintain Python and R codebase for transit routing and GIS operation automation. · Generate and write grant proposals with Dr. Liu on various topics. · Work with undergraduate and graduate students