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Field
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: simulating carbon reduction potential at parcel level under climate change scenarios across Europe; design and implement geospatial hybrid and mechanistic modelling frameworks using process-informed machine
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. The research involves the development of practical and computationally efficient methods for adapting and fitting models from survival analysis to infectious disease transmission data and other data, including
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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Machine Learning models for quality prediction and control of phosphate ore. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and
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patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models
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. Job description: - first-principle modeling and simulations of electrolytes - development of new machine learning strategies and quantum simulation approaches - application of specially developed
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emissions modeling. Simulation & Optimization Framework Build and validate a dynamic simulation model of mine haulage operations. Integrate multi-objective optimization to explore trade-offs across cost
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and uncertainty analyses to quantify trade-offs under varying operating conditions. Simulation Build a dynamic simulation of mine haulage energy flows and storage. Validate models in collaboration with
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the coastal region are largely unknown. SHORE aims to bridge this knowledge and competence gap and develop the first model capable of accurately simulating both on and offshore transport of sediments and