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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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personal qualities: Required Qualifications MA degree (or equivalent) in political science or economics (thesis must be submitted by the deadline) Documented record of advanced quantitative methods skills in
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values change over time and subject to which factors phylogenetic analyses of evolutionary trajectories across cultures Main supervisor will be Prof. Dr. Andrea Bender (UiB); co-supervision will be
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educational background and completed research work. Your application must also contain a plan for your doctoral project which includes: project description plan for the training component progress plan funding
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on seasonal meltwater flows that are increasingly prone to change and decline. The project component to which you will contribute significantly uses climate scenarios, regional climate modelling and glacio
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documentation such as: certified copy of admission to a PhD programme programme summary of approximately one A4 sized sheet including information about your PhD project, topic, method, theoretical approach, and
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methods is required. The project language is English and the applicants should have an excellent command of the English language, written and spoken. Applicants must be able to work independently and in a
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related to handling and storage of biocarbon in the metal production plants. The biocarbon value chains from biocarbon producers to end users need to be improved and tuned to secure safe and efficient
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distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
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spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological questions Personal attributes: Strong