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connection with uncertainty or data science. Specific fields of interest include, but are not limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD position - "Smart preparation of air pollutant satellite retrievals for optimizing emission inventory data" within the HDS-LEE
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electrochemical interfaces for electrocatalysis and batteries. You will investigate how the properties of the electrode-electrolyte interface can be leveraged to optimize the activity, selectivity, and stability
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Curie Grant Agreement Number 101311389 Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim of this project is developing inverse modelling and optimization
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the various areas of patient care in order to optimize the synergies of patient care, research, and teaching, with a translational approach between preclinical basic research and clinical research. The focus
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limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty quantification, model order reduction, data assimilation, optimal control, and their applications
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://werkenbij.amsterdamumc.org/en/vacatures/research/msca-dn-phd-position-f… Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Research FieldMedical sciencesEducation LevelMaster Degree
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Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours Develop and optimize extraction processes for the recovery of critical raw materials from lithium-ion
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wanting to monitor and optimize their health in a home setting, or to workers operating outside the reach of regular medical care and diagnostic equipment. As an Engineering Doctorate (EngD) candidate in
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Interfaces (https://lepmi.grenoble-inp.fr/en ). Project Overview Water, which covers 71% of the Earth's surface, is the largest energy reservoir on the planet and captures approximately 35% of the solar energy