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. • Experience with MS2 fragmentation analysis • Knowledge of fungal natural product biosynthesis • Good interpersonal skills and a team-working attitude • Interest in training and mentoring students Required
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). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology
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scientific publications Good command of English Desirable Qualifications: Knowledge of the GFZ flood risk model RFM is an asset Knowledge of the German language is an asset What we offer: Ambitious and varied
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous
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(symbiosis, parasitism). Molecular approaches (‘omics’) have improved our understanding of the adaptive mechanisms to these changes. However, the cellular architecture and structural organisation of organelles
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-depth qualitative research concerning how AI in a broad sense is transforming expert work. Your work tasks The postdoctoral researcher will contribute to research activities and stakeholder interactions
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with single-cell sequencing data and preferentially with spatial omics Working in high-performance computing environments is highly preferred Good understanding of cancer biology, immunology, cell
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About us Based centrally on the Strand Campus of King’s College London, the Department of Geography is a vibrant hub of multi-disciplinary scholarship that seeks to address the most pressing issues
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education. Rutgers is dedicated to teaching that meets the highest standards of excellence; to conducting research that breaks new ground; and to turning knowledge into solutions for local, national, and
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undertake administrative tasks in research and teaching. This is part of your personality: Completed doctoral/PhD degree in Law An outstanding doctoral dissertation in the field of Roman Law Demonstrated