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at the organismal, cellular and molecular levels. The successful candidate will join the group of Dr Jan Perner (Laboratory of Molecular Biology of Ticks), see more here: https://www.paru.cas.cz/en/sections/disease
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workflows. Your expertise will combine cutting-edge tool development, including molecular cloning, lentiviral vector and library design, and the computational analysis of high-content transcriptomic and
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and gene therapy. Our laboratory is established at the Institute for Regenerative Medicine https://www.irem.uzh.ch/en.html, a leading research institute of the University of Zurich (UZH) at the life
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‑related aspects of nervous system function: https://ki.se/en/neuro/research/group-leaders-at-the-department-of-neuroscience SciLifeLab is a national research infrastructure providing unique technologies and
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-associated Virus (AAV) vector technology and AAV gene therapy approaches. The AAV technology that was developed by the Gene Therapy Center has been directly or indirectly responsible for all FDA approved AAV
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University of California Agriculture and Natural Resources | Davis, California | United States | 8 days ago
the Git version control system, or similar distributed VCS. Experience with Typescript, SASS, HTML5, and responsive design. Experience with SVG authoring for scalable vector graphics. Strong project
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Level 05 Salary Range $15.00-22.60/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https://hr.uky.edu/employment
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a conceptual framework for exploiting symbiotic interactions to modulate mitochondrial states. Where to apply Website https://jobs.bc.cas.cz/en/detail/278 Requirements Research FieldBiological
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pest and disease assessment, including identification and counting of pests in traps and identification of disease vector insects; Collection of agronomic and physiological data under field conditions
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for biomarker extraction and clinical decision support. You will develop innovative generative models using vector quantised variational autoencoders (VQ-VAE) and transformer architectures to synthesise realistic