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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics
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was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14938&rmlang=UK
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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
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for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure
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Sciences, focused on innovative research in designing microfluidics chips for studying lipid and polymer-based nanoparticles under flow using nuetron and X-ray scattering techniques. About us The Department
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. The work involves the development of electromagnetic models, numerical simulations, prototype realization, and measurements, as well as dissemination of research results through leading international
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tasks include: AI support in the process chain: developing and applying image analysis, data process analysis, and sensor technology for textile production; using machine learning for process optimisation
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, Strakosas et al., Science, 2023, https://doi.org/10.1126/science.adc9998 ). This position addresses the emerging opportunity to bridge conventional implantable devices with bio-integrated, in situ formed