How to be a modern scientist (Ediție în Limba Română)
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How to be a modern scientist (Ediție în Limba Română)

Despre carte

Fața academiei se schimbă. Nu mai este suficient doar să publici sau să dispari. Suntem acum într-o eră în care Twitter, Github, Figshare și Alt Metrics fac parte regulată din fluxul de lucru științific. Aici ofer sfaturi de nivel înalt despre ce unelte să folosești, cum să le folosești și la ce să fii atent. Această carte este potrivită pentru oamenii de știință la toate nivelurile care vor să rămână la curent cu dezvoltările tehnologice actuale care afectează carierele științifice moderne. Cartea se bazează în parte pe ghidurile populare ale autorului, inclusiv ghiduri pentru

Cartea este probabil cel mai potrivită pentru studenții la doctorat și post-doctoranzi în științe, dar poate fi de interes și pentru alții care doresc să-și adapteze procesul științific pentru a utiliza unelte moderne.

Despre autor: Jeff Leek este Profesor Asociat de Biostatistică la Johns Hopkins Bloomberg School of Public Health. Este cofondator și codirector al Specializării în Știința Datelor Johns Hopkins pe Coursera, care a înscris peste 3 milioane de aspiranți la știința datelor. Cercetările sale au contribuit la înțelegerea noastră despre baza genomică a dezvoltării creierului, trauma prin forță bluntă și cancer. Blogurile lui se găsesc la Simply Statistics și poate fi găsit pe twitter la @jtleek și @simplystats

This book is a translation into Română of How to be a modern scientist which was originally written in Engleză.

Despre autori

Jeffrey Leek
Jeffrey Leek

Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.


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