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dynamics. Geo-spatial data handling skills (GIS, scripting, working on NetCDF files etc). Use of Linux machines and compilers, basic scripting in bash and python. Pre- (e.g. mesh generation) and post
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estimators, or machine learning) or other advanced statistical modelling. Advanced programming skills in Stata, R, Python or a similar software. Strong academic background with publications in international
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, or a closely related field. Proficiency in analysing large climate and environmental datasets using statistical or programming tools (e.g., Python, R, MATLAB). Capability of both managing research
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, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles of climate/weather model output are advantages
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well as experience in atmospheric dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and
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. Strong programming skills, for example in Python. Several of the researchers the candidate will work closely with speak English, so very good proficiency in written and spoken English is a prerequisite
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variables, fixed effects for panel data, matching estimators, or machine learning) or other advanced statistical modelling.- Advanced programming skills in Stata, R, Python or a similar software.- Strong
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Experience with rodent development, colonies maintenance Fluent oral and written English communication skills Python, Matlab, R or other relevant programming language skills Experience in the following will
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data analyses Experience with rodent development, colonies maintenance Fluent oral and written English communication skills Python, Matlab, R or other relevant programming language skills Experience in
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analysis). Skills in programming and scripting languages (Python/R/Matlab). A strong command of oral and written English. It is an advantage if you have Experience with cloud-based compute infrastructure