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Biochemistry Department is a large research and teaching department housed in a well-equipped building. We teach biochemistry, genetics, plant biotechnology, and related subjects to undergraduate and
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to write and communicate clearly Preferred Qualifications Experience with high performance computer clusters Experience with the analysis of large datasets Good understanding of immunology Any kind
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analytical skills in modelling time trends and prevalence data biostatistics for clinical trials and cohort studies experience working with large, multi-wave datasets (e.g., ABS, AIHW, HILDA) reputation at a
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or Stata and a strong grasp of statistical methods, data analysis and regression modelling. You will have experience in using large complex datasets, data linkage, data cleaning, and good research writing
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epidemiologic, clinical, and molecular research domains is desirable. Prior experience in large cohort or clinical trial data analysis is advantageous. Pay Transparency Statement The hiring range is based
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The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data linkage project
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rates expected by simulations have provided conflicting results. Large samples of detections are necessary, and a wealth of publicly available data exists in ALMA’s archive waiting to be examined
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to determine and analyse protein structures that underpin enzyme function and redesign. Generate and interpret structural data to inform and validate computational predictions. Publish in high-impact
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
, mentoring & upskilling opportunities . For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here . To see what the Science at ANU community is like, we
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(quantitative and qualitative). They must also have experience working with large datasets and producing high-quality data visualizations and linking agronomic and genetic factors. Experience in Python/R would be