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Field
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radiopharmaceuticals for use in clinical diagnosis. Specifically, the person hired will collaborate in the computational study to support the analysis and understanding of the physicochemical properties of new systems
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organization, robustness, evolvability, and designability of life. The ESBG is looking for a PhD student to work on the Knowledge Generation Project: MEGA-scale Frustration Analysis of the Protein Universe
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, addressing critical challenges for aerospace propulsion. Research outputs Development of novel experimental techniques for in-situ characterization and comprehensive microstructural analysis of samples before
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in designing gene circuits or in modelling them Desirable: experience in NGS (e.g. Illumina, Nanopore,…) sequencing (sample prep and data analysis), base editing, synthetic memory, biocontainment
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the chemical modification of graphene derivatives, 5 points/month, maximum 25 points. - Demonstrated experience in the use of microscopy, thermogravimetric analysis, MRI, spectrometry, 5 points/month, maximum 20
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data analysis is required, particularly in the handling and interpretation of data arising from physical experiments or computational models relevant to nanoscience. Teamwork; Critical thinking and
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. Knowledge of common analysis tools such as ImageJ, FlowJo, GraphPad Prism, Microsoft Office, Adobe Illustrator. LanguagesENGLISHLevelExcellent Research FieldBiological sciences Additional Information Work
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, textural, and sensory analysis. Design texturization experiments to improve gelling and emulsifying properties of legume ingredients. Develop innovative procedures for non-invasive determination of food
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data analysis; maintain, optimize, and document acquisition protocols for reproducibility and scalability; stay updated with the latest developments in microscopy automation and scientific
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analysis. Strong background in Polymer Science. Working conditions: Full-time employment contract (37.5H per week). Contract duration: 3 years Annual gross salary: will correspond to the standards of IMDEA