524 parallel-processing-bioinformatics-"Multiple" positions at Monash University in Australia
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Yiting Zhang Motorola Solutions Leader Scholarship The Women in Information Technology scholarship has allowed me to take on many opportunities to enrich my uni life, such as participating in multiple
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strategically aligned Oversee the reliable and cost-effective operation of Monash’s networks, storage environments, and data centres We are seeking a proactive and energetic individual with a passion for people
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components of living cells, including the genetic material, in order to understand biological processes and how these are altered in disease. Research and teaching in the department encompasses six broad
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are committed to fostering 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
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, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in
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, recruitment is more than just a process—it’s an opportunity to understand your career aspirations, research interests, and how they align with our Schools. We are committed to ensuring a culturally safe and
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this work to side-on and bottom-up camera angles or to multiple rodents. Gain insights into the behavioural predictors of alcohol cravings and rodent mother-infant interactions. Significance This pipeline may
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groups. We are committed to fostering 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
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of preclinical models. You will also contribute to research infrastructure, including the coordination and processing of biospecimens for downstream discovery science and biomarker development. This is a unique
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models (e.g. tumour progression, tumour-drug sensitivity, survivability) by integrating multiple and heterogeneous data with associative data mining and ensemble learning methods.