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for each tool, up to 15 points according to their knowledge level. - Proven knowledge of metamaterials-based structures: up to 10 points according to their knowledge level. - Proven knowledge of camouflage
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characterisation techniques such as in situ scanning tunnelling microscopy. This combination will be used to investigate the structure-property relations of well-defined electrocatalyst materials as
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images, with predictive value Implementation of natural language processing tools for data structuring Development of prognostic models and prediction of results We aim to hire an experienced data
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methods with in situ characterisation techniques such as in situ Raman spectroscopy (including SHINERS) and electrochemical mass spectrometry. This combination will be used to investigate the structure
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surfaces. -Structural and biophysical characterization: Exhaustive characterization of the coatings by advanced methods (FTIR, UV-Vis, electron microscopies, TGA, NMR/EPR spectroscopy for structural
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scientific research projects. Ability to present results through well-structured reports, scientific articles and presentations. - Excellent verbal and written communication skills for presenting complex data
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, in close collaboration with the PI, external consultants and collaborators, and the contracted survey company Contribute to survey design decisions related to sampling, questionnaire structure, and
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broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted
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Experience with host quantitative/statistical genetics (heritability, GWAS…) Education and training You hold a PhD in metagenomics Languages You are fluent in English Competences Structured reasoning skills
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innovation.” Mei says, “CIMR aims to reshape the landscape of medical research and education by using its unconventional structure to defy conventional boundaries.” Improving Medical Education CIMR is