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models and running simulations for various operational scenarios, but also applying the simulation results to the design and verification of biological shielding components, preparing risk analysis reports
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and verification of computation technology for model-based analysis and optimization of process systems, in this case systems for managing stormwater in extreme situations. The work is carried out in
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-processing software Eval-Gui and other in-house processing programs. Have experience with CNS-VS (a neurocognitive test) and MATLAB. Possess good computer skills. Have a sound understanding of the disease SLE
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experience. Certified training in R and Python software. Documented experience using machine learning and large, multimodal human datasets. Emphasis is placed on the candidate’s personal qualities, including
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statistical software, particularly Stata Experience working with epidemiological studies, databases from population-based studies, and/or Swedish national registers Great importance will be placed on how