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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological
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and flowering time, are underpinned by similar genetic mechanisms in distantly related plant species. The candidate will compare population-level genomic data from different Arctic taxa, conduct
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam
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the Norwegian educational system Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025
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plants with different traits to compete for light, water, and nutrients. MIMICS+ is microbial explicit module to simulate soil carbon decomposition and nutrient cycling, by including growth and decay
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well as the mantle’s viscous response to the unloading of deglaciated ice. As a result, spatial differences in ice texture can locally enhance or slow down ice flow, leading to some areas with faster than average ice
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and recovery. It does this by allowing plants with different traits to compete for light, water, and nutrients. MIMICS+ is microbial explicit module to simulate soil carbon decomposition and nutrient
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flow of ice from ice divides to the sea, as well as the mantle’s viscous response to the unloading of deglaciated ice. As a result, spatial differences in ice texture can locally enhance or slow down ice