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Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative stack designs, operating strategies and measurement methods for power
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the necessary graphic materials (they can also be sound). Help in the dissemination and ongoing dissemination of the project and support in the development of the website. Where to apply Website https
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a battery scientist to develop battery management system. Key
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rate and provide a stipend of no less than the standard UK Research Council rate (currently set at £20,780 p.a.) for 4 years. Please note the eligibility criteria set out by the UKRI at: https
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Interfolio at https://apply.interfolio.com/178931 . Your cover letter should address the ways in which you would enhance the educational experience of students and further the College's educational goals
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which may be renewed. General responsibilities: Develop concepts, identify mechanisms, and perform biomedical informatics and computational biology as it relates to the pathogenesis of lung cancer
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The University of Virginia (UVA) invites applications for Postdoctoral Research Associate positions as part of multiple initiatives including the Galaxy Evolution and COsmology (GECO) Initiative
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://www.hercjobs.org/regions/higher-ed-careers-upstate-new-york/ , as well as additional information at https://www.hamilton.edu/dof/faculty-development/resources-for-prospective-or-new-faculty/opportunities-for-spouses
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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
(CO2) into the fuel of the future or how electrolysis can contribute to a hydrogen energy economy are other exciting projects. The aim is to develop sustainable and cost-effective batteries and fuel
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed