{"id":575,"date":"2021-03-02T15:39:48","date_gmt":"2021-03-02T14:39:48","guid":{"rendered":"https:\/\/blogg.nord.no\/landscapegenomics\/?p=575"},"modified":"2021-12-23T12:26:46","modified_gmt":"2021-12-23T11:26:46","slug":"population-genomicsnord","status":"publish","type":"post","link":"https:\/\/site.nord.no\/landscapegenomics\/2021\/03\/02\/population-genomicsnord\/","title":{"rendered":"Population genomics@Nord 2020"},"content":{"rendered":"

The 2020 PhD course in Population Genomics at Nord University (course code : BIO9001) is held in Bod\u00f8 from 9th \u2013 15th of March 2020. The course, sponsored by NORBIS<\/a>, consists of a series of lectures, demonstrations and computer laboratories that cover theory and practice of population genomics analyses. Topics include population genetic theory, introduction to command line, data formats, coalescence\/population demography, analysis of population structure, adaptive evolution and inferring selection, gene-environment interactions, landscape genomics, and the analysis of admixture\/hybridisation. Both understanding theory and acquiring the skills to analyse data will be emphasized.<\/p>\n

Scroll down for more information!<\/em><\/p>\n

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When?<\/strong><\/span><\/p>\n

Classes: 9 – 13 March 2020
\n<\/span>Excursion: 14 – 15 March 2020 (optional; info follows)<\/span><\/p>\n

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Faculty<\/strong><\/span><\/p>\n

Course coordination:
\n<\/em>Joost Raeymaekers (JR)<\/span><\/span>Invited lecturers:
\n<\/em>Britta Meyer (BM)
\n<\/span>Mark Ravinet (MR)
\n<\/span>Emiliano Trucchi (ET)
\n<\/span>Oscar Gaggiotti (OG)
\n<\/span>Bart Peeters (BP)<\/span><\/p>\n<\/div>\n
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Contributions:
\n<\/em><\/span>Lars Martin Jakt (MJ)
\n<\/span>Irina Smolina (IS)
\n<\/span>Alexander J\u00fcterbock (AJ)
\n<\/span>Kostas Sagonas (KS)<\/span><\/p>\n

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Programme<\/strong><\/span><\/p>\n

This is an intensive one-week course with lectures and hands-on exercises, Monday to Friday, 9h-17h, with 1 hour lunch break. About half the time will be devoted to lectures, and the other half to exercises. Lectures and exercises are 35 hours in total, and self-study is estimated to 30 hours. Preparation time for written report (home exam) is estimated to 35 hours. The total workload is thus about 100 hours.<\/span><\/p>\n

The plan of the five days, with two sessions per day, is as follows:<\/span><\/div>\n
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