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Field
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data Data analysis of mass spectrometry data Your profile Masters, Diploma or equivalent degree in Biology, Analytical Chemistry, Biochemistry or related subjects Good understanding of tools such cell
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to think and work independently, excellent analytical skills and strong verbal and written communication skills are also essential requirements. How to apply You must apply through the University’s Apply
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. However, as membrane-bound proteins, these receptors are extremely challenging to study using conventional analytical approaches. In this project, you will apply cutting-edge nuclear magnetic resonance (NMR
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 12 days ago
addresses critical analytical challenges in CCUS research and has significant industrial impact but also provides a comprehensive training experience for the PhD researcher, preparing them for a successful
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic techniques to respiratory samples and developing analysis and interpretation approaches that facilitate
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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prototypes, conducting laboratory and field evaluations, and analyzing experimental data. The role also involves preparing technical documentation and contributing to scientific publications. Organizational
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experimental data. The role also involves preparing technical documentation and contributing to scientific publications. Organizational Status This position reports directly to Dr. Taghipour. This position will
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profile You are a proactive and analytically strong researcher with a passion for data science, mathematics, and financial markets. You thrive in multidisciplinary settings and enjoy balancing theoretical