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learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting
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related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core job duties include
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and government partners. We are looking to recruit a passionate and committed researcher to drive forward our work on simulating possible transitions away from individualised car ownership. This work
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26956 Mathematical Modeller (PhD/Postdoc) – DFG Emmy Noether Project “OpTBtreat” (m/f/d
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and the supporting evidence of eligibility for point 7 should be sent exclusively via the following weblink: https://posao.pmf.hr/opening-login?openingUUID=e5bf9166-6cf3-4b35-83e8-d95ad1522c45 Where
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design frameworks (LX design, backwards design, ADDIE, Kirkpatrick Model, etc.). Experience incorporating ADA design and development standards for web-based delivery into online course content development
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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PhD). Tasks: The successful candidate performs scientific research on mechanical metamaterials with a particular focus on modeling and simulation of the deformation and failure behavior under influence
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photophysics under conditions simulating those of the interstellar medium. Structural characterization, electronic absorption, electronic fluorescence, and recurrent fluorescence are studied through in situ
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on the design and modelling of ultra-high voltage IGBTs, thyristors, and SiC devices for HVDC and energy systems. Embedded within the EPSRC Rewire network, the project strengthens UK capability in high-voltage