Sort by
Refine Your Search
-
skills in coding for statistical and spatial analyses by relevant tools (e.g. R, QGIS and Python), as well as ability to manage large datasets of wall-to-wall environmental data. • Excellent oral and
-
data sources. Proficiency in R, Latex, and other relevant software. Proficiency in a Scandinavian language (Norwegian, Danish, or Swedish). Relevant experiences in teaching Personal qualities Excellent
-
by relevant tools (e.g. R, QGIS and Python), as well as ability to manage large datasets of wall-to-wall environmental data. • Excellent oral and written communication skills in English
-
recordings FELASA certificate (or equivalent personal license to conduct animal experiments) is required. Fluent oral and written English communication skills Python, Matlab, R or other relevant programming
-
analysis. Proficiency with statistical software (e.g., R, Stata, or Python) and transparent, reproducible workflows. Strong collaborative skills. Excellent written and spoken English. Desirable Experience
-
related field. Documented expertise in machine learning and time-series modelling (e.g. LSTM, XGBoost, CNN). Strong programming skills in languages such as Python and R. Experience with phenotyping data
-
dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles
-
background in statistics is required, as well as experience in atmospheric dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate
-
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