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the use of instrumental analytical methods such as HPLC-MS, GC-MS knowledge in the preparation of plant tissues for the extraction of natural substances experience in the application of molecular biological
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Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally
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datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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for Ion Nano-Analytics (AINA) group at LIST, a research team specialized in mass spectrometry. AINA combines expertise in instrument development, nano-analytical techniques, and methodological innovation
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
available for sustainable bioproduction. By utilizing and advancing state-of-the-art tools for microbial engineering and characterization, you will develop and implement synthetic metabolism strategies
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for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment. Background in optical instrumentation, particularly in the development and
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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies
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application. They will be part of a team that does both developmental and analytical microscopy. Developmental microscopy involves building and developing new tools and techniques to push the boundaries and
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highly complex task, as sparse instrumentation does not guarantee direct sensing at all fatigue-critical locations of the substructure’s primary steel. Analytical solutions – so-called virtual sensing
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and