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Field
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and computational modeling to understand complex biological processes. Experience in statistical modeling, machine learning, or analysis of spatial or high-dimensional biological data is considered
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research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle Analysis
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of systemic neurosciences: single cells to complex systems system analysis to mathematical modelling perception and cognition to mind and neurophilosophy biology to technical solutions Additional support is
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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uncertainty quantification for robust structural design, particularly for complex aero-engine systems with limited experimental data. Recent work by the University of Southampton developed a novel data driven
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mutualistic and antagonistic insect flower visitors in the greenhouse and in the field. Analyse complex data sets involving e.g. metabarcode sequencing Chemical analysis of flower nectar using HPLC and GC-MS
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between these important climate subsystems, using models of different complexity and a combination of mathematical, numerical and data analysis methods. You can find the other vacancy at PhD Position in
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accurate analysis and decision-making. For municipalities and provinces, a key challenge is to develop local energy roadmaps that align with regional and national scenarios while addressing specific research
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, mathematics, statistics and engineering backgrounds who are passionate about applying their mathematical expertise to tackle complex, real-world problems. By fostering these skills, HetSys trains the next
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. Advanced training modules: Choose from practical courses and lecture series on topics like image analysis, microscopy, biostatistics, developmental biology, and more. Community & collaboration: Take part in