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sequencing output. This project brings together chemical biology, molecular biology, and computational science to achieve direct, single-molecule resolution of RNA cap structures. Job-ID: V000015123 Field
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 14 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description: You will address questions related
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quantum computers, which represent a promising path towards fault tolerant and scalable quantum computing. The project addresses a broad range of optimization problems relevant to both science and industry
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members. The DKFZ is a place where the brightest minds pursue bold ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: HI-TRON Mainz - Personalized Immunotherapies Area of research: Scientific
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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property prediction, modern artificial intelligence methods, molecular dynamics, and interdisciplinary research, this is your chance to be part of an exciting journey at the forefront of science and
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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scientific disciplines? Join us as Postdoctoral Researcher for the Norms & Practices Lab in the Excellence Cluster “Machine Learning - New Perspectives for Science” (m/w/d, E13 TV-L,100%) in anthropology, law