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Field
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here
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productisation of solutions, including experimental design and prototype validation. Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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detection of microbial bioburden in biopharmaceutical cleaning validation processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 3 months ago
and imaging-based readouts, and omics-based profiling, potentially including metabolomics, proteomics or transcriptomics. Depending on background and interest, the work may emphasize metabolic
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constructs (assembly or delivery), cell culture, or techniques to study chromosome behaviour (e.g., NGS, live-cell imaging, mitotic spreads, or FISH). Please highlight any relevant experience in your cover
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of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.
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scientific writing skills, and prior experience in at least one of the following areas: a. Chemical process modeling for electrochemical surface engineering processes and/or pharmaceutical crystallization
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powder bed fusion system, focusing on automation and control aspects of this novel machine and the implementation of an in-process monitoring system. This role is central to our efforts to push the
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biology, chemical biology, nutrient sensing, pharmacology, CRISPR genetics, quantitative biochemical and imaging-based readouts, and omics-based profiling, potentially including metabolomics, proteomics