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different domains. Data reuse across domains is hindered by insufficient or poorly tailored metadata and documentation. As a result, datasets often remain underutilized, despite their potential value across
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to generate waves with representative tsunami wavelengths. The experiments involved the simulation of tsunami of different form and wavelengths propagating along the flume, running up a beach and interacting
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researcher, you will play a central role in this ambitious programme and act as a technological integrator across multiple research tracks. You will work closely with three PhD candidates focusing on different
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involved in two different projects both related to fertility. In the first, you will contribute to the project “Understanding fertility outcomes by quantifying the (un)predictable”. In particular, you will
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atmospheric datasets using programming languages such as Python, MATLAB or R. Experience with atmospheric data processing, quality assurance and statistical analysis. A strong publication record of peer
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. Experience with computational solid mechanics, computational soft tissue mechanics, or a closely related mechanics field. Well-developed coding expertise in Python, Julia, C++, Fortran, or a similar scientific
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strains with different aggression phenotypes, including BALB/cJ and BALB/cByJ mice, to link circuit function, harm-aversion, and pathological aggression. What you will be contributing As postdoctoral
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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in
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discipline. A strong curiosity for human gait and neuromuscular control after stroke. Experience with wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python
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programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity for, clinical/experimental gait data from neurological populations (stroke