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the contract and other relevant documents. PI SAS provides an opportunity to develop your scientific career in a dynamic and modern research environment. The topic is connected to advanced polymer synthesis
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or integrated prototype systems. Electrode fabrication, membrane electrode assembly preparation, or integration of gas diffusion electrodes into working devices. Computational fluid dynamics or multiphysics
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economy. Job Description: We are seeking a highly motivated and skilled postdoctoral researcher to join our dynamic team in the Sustainable Materials Research Center (SusMat-RC) at UM6P. The successful
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, electrolysis, and energy storage and conversion. In this role, you will conduct high-impact research, publish in leading journals, present findings at conferences, and collaborate with a dynamic team of faculty
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of the team and the lab, thanks to your excellent communication skills. Why Join Us? By joining IRIG, you will be part of a dynamic and innovative research environment where you have the opportunity to learn
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or integrated prototype systems. Electrode fabrication, membrane electrode assembly preparation, or integration of gas diffusion electrodes into working devices. Computational fluid dynamics or multiphysics
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-on experience with protocols for inducing whole-genome duplication (WGD) - Experience with mammalian cell culture - Ability to analyze dynamic microscopy data 2. Desired Technical Skills - Fluorescence microscopy
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of Electrical Engineering at TU/e. Within QTS you will work within a dynamic team of approximately thirty researchers and as part of ECO will be part of one of the leading groups on optical communications and
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role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive
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of Technology’s campus in Luleå. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems