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. Skills and Experience: A PhD completed or near completion in Economics or a related field. Strong coding skills (e.g., R, Python, Stata). Experience in designing and conducting experiments. Excellent
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proficiency in relevant programming languages (e.g., Python, R, Matlab). Demonstrate excellent communication skills for articulating research in presentations and publications. Show a track record of publishing
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
, and onboard computing platforms (e.g., Jetson, STM32). Proficient user of Python, C/C++, Linux tools and similar. Skills in control theory, estimation, perception pipelines, and multi-agent coordination
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in Python, C++ or similar - particularly with an emphasis on high-performance computing Experience in crystal structure prediction or crystal growth prediction Experience in collaboration with project
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
output, and strong computational skills (Linux, Python, R, HPC). You’ll bring experience handling large genomic datasets, developing analysis workflows, and contributing to funding bids. Strong teamwork
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positively to a diverse academic community. DESIRED CHARACTERISTICS Proficiency in at least one programming language (e.g., Python, C#, or Ruby) and platforms commonly used in digital forensics and backend
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(e.g., LabArchives, BioRender). Desirable Demonstrated experience in fermentation control, optimisation and scale-up. Experience in the use of electronic lab books Experience in coding languages (Python
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. Applied experience in the analysis of genomic data (bioinformatics), including reference based and reference-free pipelines, and relevant coding languages (e.g. bash, R, Python), and a sound understanding
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analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
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variant analysis will be highly regarded (e.g. bulked segregant analysis, mapping population design, whole genome sequencing, long-read sequencing) Experience with R, Python, or equivalent programming