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trips, and proficiently conducting labora tory analyses. c. good understanding of soil carbon cycle, Australian native flora and soil laboratory and statistical analysis. d
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, the candidate should ideally possess the following skillset: A strong security background (in cryptography, mathematics, information security, or a related field) Previous industrial experience is not required
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addition, the candidate should ideally possess the following skillset: A strong security background (in cryptography, mathematics, information security, or a related field) Previous industrial experience is
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gathering and analysis performed by professional companies or private individuals on behalf of the graduate researcher. Conditions The Arts PhD Fieldwork Grant is subject to the Faculty of Arts Graduate
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Grant and offers excellent training in experimental techniques, data analysis, and translational research. The successful candidate will gain in-depth expertise in both cardiovascular and neurological
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machine learning frameworks like PyTorch. The candidate should demonstrate strong analytical abilities, an eagerness to learn and solve complex problems, and possess effective collaboration skills
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of skeletal muscle in Motor Neuron Disease (MND). You will be involved in all aspects of research, from the conduct of experiments, through to the analysis of data, contribution to writing of research
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, histories, health, communications, geographies, policies and institutions. Our researchers are helping to: unpack the social and ethical complexities of climate action; support adaptation and resilience
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”. Research topics on vision based techniques for vibration measurements, artificial intelligence techniques, data analysis and signal processing techniques for structural health monitoring are covered in
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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning