How to be a modern scientist (Svensk Utgåva)
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How to be a modern scientist (Svensk Utgåva)

Om boken

Ansiktet på akademin förändras. Det räcker inte längre med att bara publicera eller förgås. Vi befinner oss nu i en era där Twitter, Github, Figshare och Alt Metrics är vanliga delar av det vetenskapliga arbetsflödet. Här ger jag råd på hög nivå om vilka verktyg som ska användas, hur de ska användas och vad man ska vara uppmärksam på. Denna bok är lämplig för vetenskapsmän på alla nivåer som vill hålla sig uppdaterade om de nuvarande teknologiska utvecklingarna som påverkar moderna vetenskapliga karriärer. Boken bygger delvis på författarens populära guider inklusive guider för

Boken passar troligen bäst för doktorander och postdoktorer inom vetenskapen, men kan vara av intresse för andra som vill anpassa sin vetenskapliga process för att använda moderna verktyg. 

Om författaren: Jeff Leek är biträdande professor i biostatistik vid Johns Hopkins Bloomberg School of Public Health. Han är medgrundare och meddirektör för Johns Hopkins Data Science Specialization på Coursera som har registrerat över 3 miljoner blivande dataforskare. Hans forskning har bidragit till vår förståelse av den genetiska grunden för hjärnans utveckling, trubbigt våld och cancer. Han bloggar på Simply Statistics och kan hittas på twitter på @jtleek och @simplystats

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

Om författarna

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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