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correlated restless bandit models. You will collaborate with leading investigators across Melbourne, RMIT and Spain, developing your independent research profile. You will also co-supervise research students
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detection and Digital Elevation Model (DEM) derivation, as well as experience in mentoring undergraduate and graduate students. Experience in using numerical models, including but not limited to hydrodynamic
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be joining a multidisciplinary, international research team of physicists, climate modellers, oceanographers, and atmospheric scientists contributing to Antarctica InSync. You will play a central role
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analyses, latent modelling, multilevel modelling). Data Cleaning and Management. Engages both independently and under supervision in data management and data cleaning and organization in large (N~100,000
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analyzing hyperspectral data and developing machine learning models - Genetic or molecular lab experience - Bioinformatics, or statistical genetics experience - Excellent written and oral communication skills
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Responsibilities Architect and implement large-scale, georeferenced 3D digital twin models Develop computational pipelines for integrating vector, raster, terrain, LiDAR, and photogrammetric data Design procedural
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education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a
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of resistance to antifungal “killer” toxins produced by different species of fungi. This hire will use genetics, biochemistry, microbiology, and genomic assays with the model yeast Saccharomyces cerevisiae
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and modeling techniques that bridge the gap between laboratory-scale physics and field-scale implementation. Our mission centers on developing next-generation solutions for energy security, efficiency
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multi-regional input-output (MRIO) frameworks or supply-chain modelling. Prior experience in research associated with food Please note that only candidates who clearly meet the required skills and