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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
particular: Investigation of reaction mechanismus using density functional theory and statistical thermodynamics Kinetic modeling using mean-field models and transition state theory Conducting MD simulations
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in subjects directly relevant to the specific specialization. It is a requirement that you have: Experience working with Agent-based Modeling and Simulation Experience working with Agent-based Modeling
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. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage. Experience and abilities
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Application form(s) needed EN_0.pdf English (2.89 MB - PDF) Download OGŁOSZENIE POST-DOC - SONATA EN.pdf English (514.3 KB - PDF) Download Additional Information Benefits Employment Conditions Full-time
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, Biomedical Sciences, Cardiovascular Sciences or related areas; Experience in animal models of cardiovascular diseases; Experience in handling, anesthesia, and monitoring of experimental animals; Good knowledge
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models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks that support the human learning and improving
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to the President of the Jury (according to the model in Annex I to this Notice); Copy of the doctoral certificate, except for cases corresponding to obtaining a doctoral degree at the University of Porto; Copy
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Doctor of Philosophy (PhD) on Phase Transformations in Advanced Steel Design Scholarship Opportunities at Faculty of Engineering Job No: 685997 Location: Clayton campus Employment Type: Full-time
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models and/or decision support systems with health or health service data Proven experience or expertise in health or health services data integration and/or data visualization techniques Participation in
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involve applications of the existing framework and advancement in the interface towards integrated assessment and energy system models for scenario analysis. The selected candidate will join a team of