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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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Significant experience in applying genetic engineering tools including Crispr Cas9 to E. coli Significant chemical analysis experience especially with VFAs, Sugars and Amino Acid analysis Computer programming
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initiative and excel in problem solving. 3. Ability to work both independently and participate in teams. 4. Experience in MRI and high-dimensional signal processing. 5. Data analysis and
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of photometric and spectroscopic observations of variable stars, simulations and programming experience useful in the automated analysis of large astrophysical data sets. Auxiliary requirements Experience in
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, floater, moorings, and cables) and combines them with an advanced robotic hub for inspection and data collection in the marine environment. •Developing data analysis methodologies and numerical modelling
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information, you are warmly welcomed. For more details, please see below or click: https://hro.bnbu.edu.cn/info/1044/3492.htm 1. London Session (UK) Time: 10:00-12:00 Date: 23 January 2026 Location: Storey’s
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the visualization of information published as linked open data by INE. Tasks to be performed: - Collaborate in the analysis, design and implementation of the architecture of the information system that allows
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real patient samples Data analysis and validation for diagnostic applications This interdisciplinary project bridges materials science, nanotechnology, biomedical engineering, and translational medicine
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or quality of experience. Mission Statement The Life Sciences Institute explores biological processes, structures and functions at the finest scale to create impact on a global scale. For more information on
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Łukasiewicz Research Network - Industrial Chemistry InstituteInstytut Chemii Przemysłowej im. prof. Ignacego Mościckiego | Poland | 9 days ago
correctness of the submitted documents • timeliness of notifications; • analysis of information contained in documents. Selection process The application should include CV, description of qualifications