274 data-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral research jobs at Nature Careers
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
. Learn more: https://www.cagenome.org/lab How to Apply Please submit a single PDF containing your CV, a cover letter describing your research interests and career goals, and the contact information
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priorities, such as Sustainability, Digital transformation and Circular economy, through the execution of five Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire
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/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences and Aarhus University
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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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our publications here . Our team is at the forefront of bringing autologous cell replacement therapies with CRISPR-edited muscle stem cells towards the clinic (https://www.mdc-berlin.de/news/news/deep
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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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-emitting devices and other advanced optoelectronic applications. The positions are based in the Green Nanodots Group (https://www.umu.se/en/research/groups/green-nanodots/ ), Department of Physics, Umeå
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For information on how to apply, visit: http://www.crick.ac.uk/careers-study/clinical-fellows/postdoctoral-clinical-fellows
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https