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project “FastSlip”. In this position, you will develop and utilise scale-bridging techniques to model and investigate fault slip in induced seismicity scenarios. The position is based at Utrecht University
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network, and develop expertise at the intersection of systems modeling, sustainability, and industrial practice. Job requirements A PhD in systems engineering, industrial engineering, operations research
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stringent energy, safety, and integration requirements of aviation. The main objective of the postdoctoral position is to develop a high-fidelity battery system model ready for future digital twin development
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-durability-modeling-of-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/354801/ Work Location(s) Number of offers available1Company/InstituteTU
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crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining multiple advantageous traits. Contribute to groundbreaking research shaping the future
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with analysis of proteomics data is essential. You are highly motivated, creative and willing to work with human postmortem brain tissue and Parkinson model systems. Within this project most
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modeling (DEM, FEM, BEM). Your job You will work on the project “FastSlip”. In this position, you will develop and utilise scale-bridging techniques to model and investigate fault slip in induced seismicity
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Postdoctoral Researcher in Gravitational Wave Astroparticle Physics (GRAPPA, University of Amsterdam
black holes; Develop and validate theoretical and computational models to a standard suitable for robust data interpretation; Present results at group meetings, seminars, and international conferences
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industrial stakeholders to link your research with ongoing modeling efforts and with the project’s broader applications. This position offers the chance to conduct academically rigorous research while working
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”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine learning and AI offer in developing effective personalized nutrition