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analysis. Technical Skills: Experience with advanced finite element software and nonlinear static and dynamic analyses. Specifically, high proficiency with both DIANA FEA and ABAQUS. Strong numerical skills
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observability, potentially integrating physics-aware constraints and generative modelling approaches. Both tracks interact closely to create a data–model feedback loop, enabling systematic analysis of how
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), and physiological parameters in the study of animal behaviour; a strong background in data analysis using R, preferably experience with Bayesian statistics and social network analysis; lab experience
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, Quantitative Genetics, Population or Statistical Genetics). Demonstrated experience in analytical and quantitative skills. Proficiency in programming and data analysis tools (e.g. Python, R, Fortran, Linux
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genome instability and metabolic diseases. The responsibilities of the position include: Establish the aforementioned research line Design and perform investigations and data analysis Working closely with
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strong mathematical skills (e.g., probability theory, statistics, calculus, and linear algebra); Have strong communication, presentation and writing skills; Enjoy working in a multidisciplinary research
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. This includes experimental work with the clocks, such as debugging and data taking, designing and constructing upgrades to the machines, data analysis, literature research, article writing, and contributing