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coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer
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in mathematical modelling methods used to analyse infectious diseases • Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment • An ability
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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, codes, and calculations with minimum oversight. • Perform simulations to assess various study design options and analysis approaches. • Monitor discretionary spending in a team to ensure that spending is
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data interpretation and communication skills Excellent scientific writing skills (manuscripts and grant applications) Knowledge in device development and coding is a plus Soft skills: self-motivated
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China, in the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred
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coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students and supporting research teams
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. Experience working with human post-mortem tissue to corroborate experimental findings is highly desirable, as is competence in computational biology through coding skills tailored to bioinformatics analyses. A
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. Qualifications Experience writing/using computer code Experience supervising postgraduate students and/or staff Experience presenting research findings at national and international conferences, seminars, and
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data interpretation and communication skills Excellent scientific writing skills (manuscripts and grant applications) Knowledge in device development and coding is a plus Soft skills: self-motivated