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Full time, 3 years fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics Join a world-class interdisciplinary team using AI, spatial omics and digital pathology
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screening data using appropriate quantitative and statistical approaches. • Seek out new scientific resources and learn or develop new techniques as warranted by project needs. • Maintain accurate and
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) Doctoral Degree (PhD) or foreign equivalent in Cancer Biology, Molecular and Cellular Biology, Biochemistry, or a
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skills and commitment to scientific excellence and innovation. Knowledge of statistics and data analysis and interpretation. Ability to conduct research independently and within a team. Ability to
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PhD in Political Science, Computer Science, Computational Social Science, Sociology, Economics, or a related degree. Applicants who are ABD (all but dissertation) in one of the above fields will be
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(PhD or MD) and have a strong background in molecular biology and physiology. There are three major projects in the lab: 1) studying the role of various cellular proteins in cardiac, immune, and cancer
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. Qualifications Minimum qualifications: For applicants to the Statistical Methodology track: PhD or equivalent in Statistics, Biostatistics, or a related field. At least one published contribution in statistical
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, statistical analyses (including multivariate approaches), and scientific writing. Mandatory requirements: PhD in physiology, ecology, neuroendocrinology, molecular biology, or related fields. Strong experience
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apply expertise in techniques such as reflectance spectroscopy and statistical modeling approaches, including Markov chain Monte Carlo methods, to support scientific investigations of planetary
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will begin from June 2026. Education and Background PhD degree in a relevant quantitative discipline such as Bioinformatics, Statistics, Mathematics, Data Engineering, or Biomedical Engineering