70 computer-science-intern "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral positions at Nature Careers in Denmark
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Zheng. Your competences You have academic qualifications at PhD level, for example within computational biology, bioinformatics, spatial omics, or related areas. Experience with computational imaging
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origami robots that can sense, compute and actuate [2]. In the recently funded RIBOTICS (RNA Origami Technology in Cell Systems) project, the lab aims to develop RNA origami robots for cell factories (yeast
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does not involve single-crystal synthesis. This project involves intensive international collaboration with multiple research groups. Your profile You hold a PhD in physics, chemistry or materials
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characterization of nucleic acids Computational model building and structure prediction Single-molecule fluorescence microscopy techniques Experience in cryo-EM structural biology of nucleic acids. Who we
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, with strong expertise in RNA biology, structural biology, enzymology, glycobiology and quantitative proteomics. More information: https://mbg.au.dk What we offer We offer: The opportunity to work in an
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. Andersen (Andersen group ) at the Department of Biochemistry and Molecular Biology (BMB) at SDU. The Andersen group is associated with the ‘Biomedical Mass Spectrometry and Systems Biology research unit
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The Department of Physics, Chemistry and Pharmacy , University of Southern Denmark (SDU) in Odense invites applications for a postdoctoral position embedded in the laboratories of the Section
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We are seeking applicants for postdoc positions in ‘Mammalian Nuclear RNA Production and Turnover Systems’ to join us at the Department of Molecular Biology and Genetics in the research team
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum