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Field
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deeper understanding of the complex relationship between climate controls (i.e. modes of variability) and extreme ocean temperature events such as MHWs, which is essential for predicting future climate
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controlled perception-action cycle that carefully considers uncertainty and risk, so should the behavior of an autonomous agent. But this is not trivial to attain. For example, the dynamics of the environment
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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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of the interface, the mobility of lithium and electronic charges at this level, using materials with controlled morphology and surface state, through isotopic exchange techniques and/or homo/heteronuclear
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(APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process analytical technology (PAT); process intensification and sustainability. Where to apply Website
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and protocols to produce, downscale, assess and deliver state-of-the-art decadal predictions and multi-decadal projections of climate change and related impacts on marine ecosystems, covering the basin
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execution time (WCET). The postdoc position focuses on compiler support for WCET analysis for time-predictable architectures such as Patmos/T-CREST. Furthermore, it is expected to join the development of a
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systems Strong skills in data-driven analysis and modelling, simulation, control, and validation Familiar with modeling of PtX and storage technologies, model predictive control, machine learning
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 14 days ago
multi-expert segmentation databases. The postdoctoral fellow will focus on integrating segmentation variability into deep learning models, with the goal of assessing prediction reliability and enabling
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protein design tools to generate and prioritize inhibitor candidates with high predicted binding and selectivity. These designs will then be experimentally validated through a combination of affinity