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modeling, multilevel (random effects) modeling, and analysis of data from complex samples Experience with management and analysis of big data Experience with machine learning and related approaches (e.g
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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relevant to multiple applications, including small aircraft, drones, turbines, and other systems reliant on efficient fluid flow around foils. The project offers a unique opportunity to gain experience in
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hectares. In the 21st century, losses have become more frequent with a constant stream of large buildings taking over sites that were once Open Green Public land. A research industry internship have been
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coefficients. This strategy carries large uncertainty and requires vast amount of expensive and time-consuming experimental data. Worse, sometimes the experimental data is simply inaccessible. The need for cost
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multiple disciplines. Our courses are taught by distinguished and dedicated faculty members. Our excellent libraries will support you with your research. Discover GESS: All doctoral programmes in English
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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MRI animal scanner, and a Siemens INVEON PET/SPECT/CT animal scanner. The MRRC currently supports 32 projects funded by $31.5 million of NIH grants. Projects span multiple disciplines including
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are predominately held in English. Full-time / part-time part-time (study alongside work) full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Additional information on beginning
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cell technology. Experience with RNA sequencing, gene editing (CRISPR-Cas9), single particle imaging, and large data set analysis. Proficiency in programming languages like R, python, Matlab Online