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RISC-V ISA. Your project will be on developing time-predictable RISC-V architectures to support multicore systems as a basis for real-time automotive functionalities. Responsibilities: Conduct research
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-edge generative and predictive methods for materials discovery, we offer an excellent opportunity to advance your research. We are seeking a highly motivated and talented postdoctoral researcher to join
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predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real
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our pilot cases Development of building simulation models supporting energy and indoor climate optimization Analysis of building performance data for occupancy detection and predictive modelling
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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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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
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-of-the-art practical engineering models for predicting sand and particle transport struggle with the cross-shore processes (perpendicular to the beach), and they even have difficulties predicting the sign
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academic and industrial domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape
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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