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Behavioral Health Rank: Research Associate, Postdoctoral Scholar Annual Basis: 12 Month Review of Applications Begins April 21, 2026; position open until filled Special Instructions to Applicants Application
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reproducible research software and scalable data analysis pipelines in Python for machine learning and interpretability research. These tools will support systematic investigation of model behaviour and enable
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research. The overarching goal of the program is to train the next generation of behavioral and biomedical scientists with the necessary skills sets to conduct transformative and impactful research to reduce
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encompasses the application of machine learning tools to accelerate the optimization of polymer architectures and degradation behaviour. Salary, Level A - $91,381 - $121,838 per annum + 17% superannuation Full
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modeling approaches. The successful candidate will design and conduct experiments, develop and implement analytical and numerical modeling approaches, and perform microstructural characterization to evaluate
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 15 days ago
Human-Animal Interactions, Physikat) on the topic of farm animal husbandry and welfare, with an emphasis on pigs. The candidate is also expected to develop and conduct an applied research program to solve
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out research in line with the project plan. The successful candidate will conduct hands-on empirical research that embraces both experiments and modelling. Working closely with academic colleagues and
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Associate position offers an opportunity to conduct mentored pre-clinical basic science research in the endocrine research laboratory led by Dr. Rana Gupta, with a focus on diabetes, obesity, and tissue
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the role of retrosplenial cortex in memory organization. The Post Doctoral Scholar will take a leading role in investigating changes in memory linking behavior across the lifespan. Required Education
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questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy, marketing data modelling, consumer behavior, and online