318 systems-science "https:" "https:" "https:" "UCL" Postdoctoral positions at Nature Careers
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Computer Science, with specialization on applied machine learning, statistical methods, and/or autonomous systems Strong programming skills Strong analytical skills Industry experience in information and
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• Independently design, execute, troubleshoot, and interpret experiments in structural biology, biochemistry, and cell biology • Perform protein complex expression/purification (mammalian and insect systems), cryo
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with a strong research profile within Sensory & Consumer science who would like to work with highly engaged and motivated staff in a dynamic working environment. The position is available per 1st April
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Division can be found at https://bsdpostdoc.uchicago.edu/ . Compensation in the Biological Sciences Division follows the NIH NRSA Stipend scale. The current pay range for this position is $62,232 - $75,564
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Arimura Lab in the Basic Sciences Division at Fred Hutch is seeking a highly motivated
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. YOUR PROFILE Ph.D. in life sciences (earned within the past 3 years). Required: experience with human cell line engineering; molecular biology expertise is a plus. Excellent English communication skills
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Are you passionate about challenging established norms in extracellular vesicle biology? Do you have any experience in single-cell RNAseq? Then, the Department of Molecular Biology and Genetics
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demonstrators for satellite communication systems Education: Contribute in the teaching activities of the University's Cybersecurity Master program and supervise the scientific research of PhD/Master students
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/articles/s42256-024-00821-x, https://pubs.acs.org/doi/10.1021/acs.analchem.5c06256, https://www.nature.com/articles/s41570-023-00570-2). The research is computational in nature but involves close