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working with antimicrobial peptides, probiotics, bacteriophages, nanoparticles, or similar bioactive compounds. Familiarity with multi-omics approaches and/or data integration methods. For full details
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is dedicated to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. To learn more about the School of Nursing and Midwifery at Monash . About Monash
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to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. To learn more about the School of Nursing and Midwifery at Monash . About Monash University At Monash , work
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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drafting and editing publications. Strong oral communication and interpersonal skills. Demonstrated experience with quantitative and/or qualitative research methods is desirable. A demonstrated knowledge of
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 14 hours ago
) Country Australia Application Deadline 26 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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-atomic potentials using a combination of classical and machine-learning (ML) approaches (and a new hybrid method recently developed in our group). Some of the types of simulations that will be performed
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. It is at the heart of everything we do. About the Research Associate Role (Level A) We are seeking a Research Associate to contribute to a dynamic research program in Reproductive and Perinatal
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI
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instruments skills in qualitative research methods and ability to lead research involving interviews and focus groups demonstrated project management skills and a proven ability to prioritise workload, work