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HyCARB , a national programme funded by the National Growth Fund via GroenvermogenNL that unites 45 Dutch knowledge institutions and companies to build the technology base for carbon-based chemistry from
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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(HAI)(link is external) . Research Focus The fellow will lead computational modeling efforts to develop large-scale, multimodal models of the human brain. The work will involve integrating brain imaging
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or the Director of the Museum Studies Programme or the PI. Applicants must have a PhD degree in Chemistry, Material Science and Engineering, Physics, or related disciplines, or in Conservation/Heritage
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
team members and present findings verbally and in writing Qualifications Basic qualifications • Ph.D. in biomedical physics, biomedical engineering, neuroscience, computer science, or related discipline
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at Chalmers University of Technology, which has a strong research focus on next generation chemistries and operando characterization of batteries with X-ray imaging and spectroscopy. Batteries@Chalmers gathers
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seeking a highly motivated Postdoctoral student with experience in molecular biology, biochemistry (preferably of membrane proteins) and quantitative biophysical and/or computational approaches to examine
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Postdoctoral Research Associate in spatial omics, artificial intelligence and computational pathology. The role will develop and apply computational methods for analysing kidney biopsy data, integrating
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the Research Ireland-funded project Inverse Problems for Sustainable Living in Ireland (IP-SUSTAIN). The project aims to advance both the mathematical theory and the computational methodologies of Inverse