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raising the profile of the research through engagement with farmers, scientists and other stakeholders; supporting freedom-to-operate assessments; preparing data for patent applications and submissions
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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work together in an informal atmosphere. This is your team You will be part of the research group Marine Biodiversity where you will work with Rita Pucci (computer scientist) and Luna van der Loos
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5 Sep 2026 Job Information Organisation/Company UNIVERSITY OF MELBOURNE Research Field Biological sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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. The successful candidate will work closely with computational scientists, pathologists, and clinicians to build robust AI-driven solutions for biomarker discovery, disease characterization, and translational
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, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will
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and Master's students in bioinformatics analyses, data visualisation and best-practice workflows. Contribute to manuscripts, reports, funding proposals and regular presentations for academic, industry
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 14 hours ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 14 hours ago
-reported tolerability endpoints, or other endpoints of interest. Statistical approaches under evaluation could include joint models for longitudinal and time-to-event data, mixed-effects models for repeated