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prompts Develop predictive models for sepsis, deterioration and ICU outcomes Create reproducible analysis frameworks using R/Python, GitHub, Quarto or R Markdown Produce real-time dashboards for ICU
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modelling infectious disease dynamics, population dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling
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modelling infectious disease dynamics, population dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling
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modelling infectious disease dynamics, population dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling
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, including—but not limited to—the green‑metals value chain, low‑carbon liquid‑fuel value chain, chemical manufacturing pathways, and comparative assessments across different economic and regulatory contexts
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systems or environmental sensing technologies. Strong programming skills in Python, MATLAB, or similar for real-time data processing. Demonstrated ability to work in collaborative, multidisciplinary teams
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that predicts how bioprocesses behave at different scales, and work closely with engineers and data scientists to integrate experimental outputs into computational models. This role is ideal for someone
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in robotics, control, or autonomous systems. Experience with ROS/ROS2, MAVLink, PX4/ArduPilot, and onboard computing platforms (e.g., Jetson, STM32). Proficient user of Python, C/C++, Linux tools and
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in Python, C++ or similar - particularly with an emphasis on high-performance computing Experience in crystal structure prediction or crystal growth prediction Experience in collaboration with project