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imaging-driven quantitative Mass Spectrometry-based omics methods, both at bulk population and single-cell levels, for this project. You will work closely with experts in cellular signalling, proteomics
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The Natural Language Processing Section at the Department of Computer Science invites applicants for a Postdoctoral Researcher in Natural Language Processing. Project Description The position
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will develop imaging-driven quantitative Mass Spectrometry-based omics methods, both at bulk population and single-cell levels, for this project. You will work closely with experts in cellular signalling
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and 7 months to work on mitochondrial membrane protein complexes using structural biology methods, cryo-ET and STA. Expected start date and duration of employment The starting date is 1st February 2026
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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obliged to participate in the assistant professor program at CBS on teaching principles and methods in order to fulfill the pedagogical requirements made at the end of the term of employment as assistant
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strong background in materials crystallography with measurement and analysis of diffuse scattering, including use of the 3D-DPDF method. Furthermore, the candidate preferably has experience in writing
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have a PhD degree or must document equivalent qualifications in a relevant field related to natural language processing (NLP), literature, information science, media studies or a closely related domain
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will be to: Model the optical, mechanical and optoelectronic properties of the fibers using ray tracing and finite element method models; Select and characterize soft materials for the fibers, and use
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to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold. Experience with mammalian cell culture in two and/or three dimension Ability to perform biochemical and imaging methods Strong analytical skills