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and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
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-fidelity management within a multi-objective constrained closed system design optimisation can allow a highly complex system and environment to be more accurately modelled and simulated, accounting
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experience in manufacturing systems modeling, simulation (i.e., DES), and digital twins. • Good knowledge and experience in machine learning, reinforcement learning, and AI-based optimization for production
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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generate data for calibration of the models. The Research Assistant or Research Fellow is also expected to contribute to design studies (based on data collected from surveys, laboratory and simulations
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implementation of Hierarchical Modelling of Species Communities (e.g. HMSC) to analyse biodiversity-environment-disturbance relationships and simulate community responses in abyssal seascapes Producing open-access
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experience in computational systems modeling, simulation, and analytics; OR Master's degree in computational biology, systems biology, bioinformatics, biological engineering, biophysics, or related field plus
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use the ISBA land surface model developped at CNRM to study the
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-year contract starting September/October 2026 https://www.eu4greenfielddata.eu/ APPLICATIONS OPEN ON Juanary 5th 2026 Are you an aspiring researcher ready to drive the digital and green transition in
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computational science expertise. The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers