38 assistant-professor-computer-science "https:" "https:" "https:" "https:" positions at Nature Careers in Denmark
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DTU Chemical Engineering. Qualifications Assistant Professor: PhD degree (or equivalent) and potential additional experience from academia or industry. Associate Professor: PhD degree (or equivalent
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Faculty of Health and Medical Sciences University of Copenhagen The University seeks to appoint one or two visionary and team-oriented tenure track assistant professors to the Department of Drug
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Assistant professor position (non-tenured) in molecular dynamics simulations of plant hormone tra...
The Plant-PATH center and the Pedersen group at the Department of Molecular Biology and Genetics, Aarhus University, Denmark, are looking for a highly skilled and motivated assistant professor with
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to empower the scientists and accelerate their discovery and innovation. Metabolomics Rodent Metabolic Phenotyping Single-Cell Omics Data Analytics Genetic Perturbation Computational Chemistry Read more about
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Tenure Track Assistant Professor and Curator of Mollusca Natural History Museum Denmark Faculty of Science University of Copenhagen The Natural History Museum Denmark wishes to appoint a Tenure
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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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(2014). https://doi.org/10.1126/science.1253920 [2] An RNA origami robot that traps and releases a fluorescent aptamer. Science Advances (2024). https://doi.org/10.1126/sciadv.adk1250 Your qualifications
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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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right in front of you. A Tenure-Track Assistant Professor position is available in the Department of Biotechnology and Biomedicine (DTU Bioengineering) in the Biotherapeutic Glycoengineering and
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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