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Please note this course takes place over three days:

 

Workshop 1: 10th December

Workshop 2: 11th December

Workshop 3: 12th December

Course Aim

Computational methods are providing increasing amounts of insight into fundamental properties of molecular interactions. Furthermore they can be used as a complementary method to many biophysical techniques and as such are useful tools for many experimental scientists. This course aims to provide an introduction to some of these computational methods. The emphasis is on learning how to actually perform some of these methods and whilst it is not possible to become an instant expert, attendees should, at the end of the course, be in a better position to know what in principle is possible and where to seek further information. Because of the practical nature of the sessions, attendees should attend the course in its entirety.

Course Format

2.5 days full time course consisting of lectures and practical sessions

Course Content

(may vary each year)

  • Introduction to the course 
  • Introduction to Molecular Dynamics 
  • Practical Session - Molecular Dynamics 
  • Introduction to Free energy calculations 
  • Practical Free energy calculations 
  • Introduction to homology modelling 
  • Practical Session — homology modelling

Course Length

2.5 days.

Participant Numbers

Max 35

Terms and Conditions

Please read the Terms and Conditions for course booking and attendance.

*** NEW COURSES ***

Careers workshops for research students and research staff in Hilary term - run by the Careers Service

iSkills for the Medical Sciences Division: Introduction to Mendeley (run by Bodleian iSkills) - book now for places during January-April.

Pathways for women researchers aiming for an academic career in sciencerun by the MPLS division

Graduate skills training courses available in early February at the Department for Continuing Education - spaces limited so book now

In collaboration with IT: R: Kick off – For those interested in learning what R can do to analyse and visualise data – 1 and 8 February

In collaboration with IT: R: Preparing for your data analysis – Basic concepts in exploratory data analysis and statistical modelling using R – 15 February and 7 March

In collaboration with IT: R: Visualising your data – For those who would like develop their skills in visualising data using R – 15 March

Writing a transfer report 23 January 2019

Writing a thesis 5 March 2019

Writing a thesis 12 March 2019

Writing a thesis 19 March 2019

Mixing it up mixed research methods course at the Department for Continuing Education (free for Oxford DPhil students) - 23 April to 11 June

Forthcoming events

Managing your supervisor

Monday, 18 February 2019, 10am to 1pm

Introduction to statistics (Group A)

Tuesday, 19 February 2019 to Tuesday, 12 March 2019, 9.30am - 12.30pm

Introduction to statistics (Group B)

Thursday, 21 February 2019 to Thursday, 14 March 2019, 1.30pm - 4.30pm

Viva preparation

Monday, 04 March 2019, 2pm to 5pm

Writing a thesis

Tuesday, 05 March 2019, 2pm to 5pm