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of Engineering and IT at the University of Melbourne. For further information and to apply: https://unimelb.wd105.myworkdayjobs.com/en-GB/UoM_External_Career/job/P… Where to apply Website https://unimelb.wd105
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systems or environmental sensing technologies. Strong programming skills in Python, MATLAB, or similar for real-time data processing. Demonstrated ability to work in collaborative, multidisciplinary teams
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, metabolite assays, bioprocess analytics (e.g. HPLC data) Knowledge in fermentation control, optimisation and scale-up. Experience in the use of electronic lab books. Familiarity with the Python programming
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packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation
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results. High levels of personal integrity, transparency and capability. Experience in crop model coding is desirable. Experience in statistical analysis and data visualisation (e.g. R, Python) is desirable
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in robotics, control, or autonomous systems. Experience with ROS/ROS2, MAVLink, PX4/ArduPilot, and onboard computing platforms (e.g., Jetson, STM32). Proficient user of Python, C/C++, Linux tools and
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python, git, SQL, R. Demonstrated Healthcare data domain knowledge, in particular data engineering with Electronic Medical Record, OMOP and MIMIC databases Demonstrated expert knowledge and experience in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 25 days ago
, or mantle structure. Proficiency in waveform processing, programming (e.g. Python, ObsPy, SPECFEM), and forward or inverse modelling is essential, along with a record of high-quality publications and
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, R, Python, STATA). Experience managing and analysing large, complex datasets. Strong communication skills to translate complex methodologies for diverse audiences. A collaborative mindset and ability
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Canada, the USA, the UK, or New Zealand. Proficiency in Python, MATLAB, or C++, and demonstrated experience in deep neural networks and mathematical optimisation, are essential. A commitment to equity