Courses and workshops at the Graduate Research School in Integrative Biology

18–22 November 2024, Lund University (3 ECTS)

This course gives knowledge and understanding how effective science communication works and discusses the role of science in society. Through seminars, discussion groups, self-directed learning and project work, the course provides skills to condense and convey key messages clearly, to define target audiences for different types of communication and develops effective techniques to deliver and receive information through different channels. There will be preparatory tasks the week before the course begins and you will work full days during the course period.

Course description (PDF, 253 kB, new tab, Centre for Environmental and Climate Science website)
Host: Centre for Environmental and Climate Science and Department of Geology, Lund University
Course leader: Johanna Stadmark, Johanna [dot] Stadmark [at] geol [dot] lu [dot] se (Johanna[dot]Stadmark[at]geol[dot]lu[dot]se)

This course will provide an introduction to modelling protein structures and small complexes, interpreting and visualising the results. Course participants will gain theoretical knowledge, as well as hands-on experience, of the cutting-edge method AlphaFold2.

Course leader: Bhanu Chouhan (LU-Fold engineer)

Register no later than 11 November though this form.

Dates of the next course to be announced (1.5 ECTS)

This course’s aim is to provide a basic introduction to R, preparing students for using R in their own research. The course will use a combination of brief lectures and tutorials where the students will work on prepared problems. The last day of the course will include an open problems session where students are encouraged to bring their own data or analysis problems.

We will cover:

• basic R commands,
• basic data manipulation in R (different data structures),
• import and export of data,
• plotting commands (basic plotting and ggplot),
• functions for data summary and manipulation (for example computing means, variances, maxima,
  minima, and apply-functions) and
• time permitting – basic statistics.

Course leader: Johan Lindström

Dates of the course to be announced (1.3 ECTS)

This four-day course introduces the fundamental principles of building phylogenies using molecular data, as well as the latest techniques and programs in this field. The aims of this course are to introduce the theory and practice of phylogenetic inference from molecular data and to introduce some of the most used methods and computer programs. The emphasis will be on model-based methods using maximum likelihood and Bayesian inference, with a focus on DNA sequences as data. We will introduce programs such as IQTREE, MrBayes, as well as BEAST for timing of divergence analyses. The course will consist of lectures, demonstrations of computer programs, and independent projects on fully analysing an example dataset (either your own or given by the lecturer). The course is aimed at PhD students but is also suitable for researchers at any stage, including motivated MSc students.  

Course leaders: Jadranka Rota & Niklas Wahlberg

Dates of the course to be announced (3 ECTS)

This aim of this course is to teach students how to develop and perform systematic reviews and meta-analyses. These are valuable techniques for identifying broadscale patterns and trends in published literature. The course will provide practical training in how to perform systematic reviews and meta-analyses to a publishable standard, as well as how to assess the quality of other systematic reviews and meta-analyses.