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, an interdisciplinary effort at the interface of genomics, artificial intelligence, and biophysics. The project aims to elucidate the mechanisms governing DNA replication initiation in metazoans by combining deep
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Loyola University of Chicago - Cell and Molecular Physiology Department | Maywood, Illinois | United States | 24 days ago
. Careful but not exclusive consideration will be given to applicants who use non-traditional models alongside innovative biophysical, 'omics, and live imaging approaches to address fundamental knowledge gaps
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Starting Grant and an EMBO Installation Grant so your research and training will be well supported for years to come. Check out our lab page for more information: https://www.ceitec.eu/translation-control
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Supervisor: Dr Guiping Wang Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research
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or microplastic (https://doi.org/10.1016/j.ijbiomac.2026.151566 ), or when the molecular compositon of mucus is changed in the context of pathological conditions (https://doi.org/10.1021/acs.biomac.4c01629
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5 Sep 2026 Job Information Organisation/Company CNRS Department Expression Génétique Microbienne Research Field Chemistry Physics » Biophysics Biological sciences » Biological engineering Researcher
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Posting Information Posting Details Department Biochemistry and Biophysics - 423001 Posting Open Date 09/14/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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. As part of your PhD training, you will gain hands-on experience with advanced techniques, including CRISPR-Cas9 genome editing, protein and RNA biochemistry and biophysics methods. You’ll also develop
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microscopy, tissue culture, biochemistry, physiology, or biophysics. Enthusiasm and commitment to pursue novel research areas and develop new techniques and approaches. Team player with an interest in learning
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with stillbirth, ultimately enabling real-time, objective in-home monitoring to identify at-risk pregnancies. This aim of this role is to develop a biophysical computational model which is capable