48 parallel-processing-bioinformatics-"Multiple" research jobs at Monash University in Australia
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skills, coupled with well-developed planning and organisational abilities to manage multiple priorities effectively. Exceptional written and verbal communication skills, strict adherence to confidentiality
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translational clinical research. The successful candidate will be responsible for the design, development, and characterisation of a diagnostic electrochemical biosensor, incorporating signal processing and
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distribution across multiple HSR scenarios. You will work alongside a team of internationally renowned experts in transport and urban planning, including Associate Professor Liton Kamruzzaman, Professor Hai Vu
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technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly
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, collaborative community Be surrounded by extraordinary ideas - and the people who discover them Multiple roles, evaluation, quantitative research experience The Opportunity The Institute for Safety Compensation
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modelling of neural systems Bioinformatics Imaging genetics Neuroimaging techniques (MRI, MEG, EEG) Comparative or cross-species neuroscience Excellent problem-solving, organisational, and communication
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analyse and harmonise large-scale claims, service and payment data across multiple jurisdictions—delivering insights that can influence national injury prevention and health policy. You’ll be part of
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an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software
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or doctoral qualification in neuroscience or a closely related field, and a strong background in signal processing, programming and electrophysiological techniques. Demonstrated skills in data analysis and