Catalogue de la bibliothèque de SNV
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Cambridge University Press |
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The fourth edition of this popular textbook retains its focus on the fundamental principles of gene manipulation, providing an accessible and broad-based introduction to the subject for beginning undergraduate students. It has been brought tho[...]Nouveautétexte imprimé
Benny Chor, Editeur scientifique ; Amir Rubinstein, Editeur scientifique | [S.l.] : Cambridge University Press | 2022Computational Thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an a[...]Nouveautétexte imprimé
Ecohydrology is the study of the two-way interaction between the hydrological cycle and ecosystems. More broadly, it is the science of the linkages between life and water on Earth. On the one hand, the space and time variability of the hydrolo[...]Nouveautétexte imprimé
Peter G. C. Campbell, Auteur ; Peter V. Hodson, Auteur ; Pamela M. Welbourn, Auteur | [S.l.] : Cambridge University Press | 2022Ecotoxicology offers a comprehensive overview of the science underpinning the recognition and management of environmental contamination. It describes the toxicology of environmental contaminants, the methods used for assessing their toxicity a[...]Nouveautétexte imprimé
Applying statistical concepts to biological scenarios, this established textbook continues to be the go-to tool for advanced undergraduates and postgraduates studying biostatistics or experimental design in biology-related areas. Chapters cove[...]Nouveautétexte imprimé
An indispensable primer and reference textbook, the third edition of Geochemical and Biogeochemical Reaction Modeling carries the reader from the field's origins and theoretical underpinnings through to a collection of fully worked examples. A[...]Nouveautétexte imprimé
Sand Dunes are a globally important depositional landform and sedimentary system. Their origins and dynamics are important in understanding how deserts have evolved in response to climate change and changes in sand supply and mobility, and how[...]Nouveautétexte imprimé
"Statistical and machine learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology and oceanography; pattern recognition for satellite images from remote sensing; ma[...]Nouveauté