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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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different conditions using existing software (written in Fortran). Analysis of data using quantitative genetics tools (e.g., calculation and comparison of genetic and phenotypic covariance matrices
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/video, (2) mobile recordings with action cameras, (3) geotagging. Skills in using documentation relevant software such as ELAN, Praat, SayMore, GIS processing software such as Basecamp or QGis
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and safeguards. The research is focused on applications such as verification of nuclear material from existing and future nuclear energy systems. Duties In a recently granted project, funded by
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. The project involves the development of state-of-the-art machine learning techniques applied to robotic applications. The researcher will develop robotic software, collect data and design machine learning