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Field
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, brain science, and neuroscience); data science and machine learning; modeling, analysis, simulation and prediction for biological, engineering, physical and quantum systems; probability theory and
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well as of the cyclone family itself. The candidate will investigate the mechanisms by which moisture is drawn into and processed within cyclone families using reanalyses, idealised and realistic model simulations
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participate in a fieldwork campaign in the Canadian Arctic to collect in situ snow and ice observations under aircraft overflights Use existing radar echo modelling tools to simulate CRISTAL-type satellite
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team to develop/produce/investigate a web-based Ship Simulation and Optimisation Software Platform. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI
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, writing, and fine-tuning code for structural model simulation, with a focus on computational performance. Most of the code will use the Julia programming language • Non-linear estimation and other
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models for treatment discovery and patient-specific decision support. Gain experience in translational research across clinical, academic, and technology domains. Participate in lab initiatives aligned
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devices, and edge computing platforms. Deploy machine learning models to enhance process control and system responsiveness. Collaborate with industry partners to identify research challenges, co-develop
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in developing physical models using graphs, simplicial complexes for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruplex
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mitigating their toxicity using sorbent materials. Key responsibilities include: Performing experiments in cell cultures, molecular biology, and animal models. Maintaining routine cultures of living organisms
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of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a