Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
-
in Python or R; demonstrated experience in preparing or contributing to competitive grant applications; strong quantitative research skills, including data analysis and interpretation of IEQ
-
dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling techniques to model the ecology of wildlife
-
prompts Develop predictive models for sepsis, deterioration and ICU outcomes Create reproducible analysis frameworks using R/Python, GitHub, Quarto or R Markdown Produce real-time dashboards for ICU
-
at least one relevant language or environment, such as Python, MATLAB, Julia or similar. Strong written and verbal communication skills, including the ability to publish research outcomes and engage
-
experience in modelling infectious disease dynamics, population dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application
-
-temperature conditions. Proficiency with data analysis tools and scientific programming languages (e.g., Python, MATLAB, LabVIEW). Commitment to safe laboratory practices and familiarity with experimental risk management
-
modelling infectious disease dynamics, population dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling
-
analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
-
modelling infectious disease dynamics, population dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling