100 postdoctoral-soil-structure-interaction-fem-dynamics Postdoctoral positions in Sweden
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? If so, this postdoctoral position is your opportunity to make an impact while working in a collaborative research group focused on cutting-edge battery materials and manufacturing. Project description
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We are seeking a highly motivated and talented postdoctoral researcher to join our team in developing novel organic bioelectronic electrodes for interfacing with the nervous system. This position is
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the project actively, keep updated with the literature, interact with the other team members, be active at journal clubs and meetings, present results pedagogically, write reports and papers, and have a
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previously held a position as a postdoctoral researcher in the same or related subject area at MDU that exceeds one year. Competence in research on collaboration and experience in studying impact, effects, and
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School of Engineering Sciences at KTH Job description The research project concerns the development and use of MINFLUX single-molecule microscopy for cellular imaging and dynamic studies
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fosters an open, informal environment, and we actively promote a welcoming and inclusive organizational culture. We offer you A dynamic working environment at a collaborative, internationally connected, and
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of the application period. You have not previously held a position as a postdoctoral researcher in the same or related subject area at MDU that exceeds one year. You are also required to have: Demonstrated proficiency
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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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. There will be considerable freedom in developing your own research projects based on the data we generate in the project. Qualification Requirements. We are looking for a candidate with a PhD and postdoctoral
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description