A 3 day remote training course split evenly across each day, learning how to use our Aztec EBSD analysis, allowing best practise analysis and interpretations of results. Oxford Instruments will provide with all material needed. At the end of the course, a certificate of attendence will be given to the participant. For full class agenda please click here
Please book your course at least 3 weeks before the start date to give us enough time to arrange. Courses are for customers who have used the systems for a while, have basic operational knowledge rather than completely new users.
*PLEASE NOTE: THIS COURSE IS BASED AT OUR HIGH WYCOMBE OFFICE*
A 2 day course split evenly across each day, learning how to use our Aztec EBSD analysis, allowing best practise analysis and interpretations of results. Oxford Instruments will provide with all material needed. At the end of the course, a certificate of attendence will be given to the participant. For full class agenda please click here
Please book your course at least 3 weeks before the start date to give us enough time to arrange. Courses are for customers who have used the systems for a while, have basic operational knowledge rather than completely new users.
*PLEASE NOTE THIS COURSE WILL BE HELD AT OUR HIGH WYCOMBE OFFICE*
A 2 Day in-person course (9am - 3.30pm) learning our Aztec EDS system allowing best practise analysis and interpretations of results. For full course information click here
Please book your course at least 3 weeks before the start date to give us time to arrange it. Courses are for customers who have used the systems for a while, have basic operational knowledge rather than completely new users.
A 3 day remote training course for 3 hours per day on our Aztec EDS system allowing best practise analysis and interpretations of results. The course will be held through Skype video call and time for each day will be agreed with participant. we will provide with all material needed. For full course information click here
Please book your course at least 3 weeks before the start date to give us time to arrange it. Courses are for customers who have used the systems for a while, have basic operational knowledge rather than completely new users.
A 2 day training course on AZtec Feature Particle Analysis split evenly accross 2 Days, allowing best practise analysis and interpretations of results. A 3 remote day training course on AZtec Feature Particle Analysis split evenly accross the Days, allowing best practise analysis and interpretations of results. Download the course agenda here
Please book your course at least 3 weeks before the start date to give us enough time to arrange. Courses are for customers who have used the systems for a while, have basic operational knowledge rather than completely new users.
A 3 remote day training course on AZtec Feature Particle Analysis split evenly accross the Days, allowing best practise analysis and interpretations of results. Download the course agenda here
Please book your course at least 3 weeks before the start date to give us enough time to arrange. Courses are for customers who have used the systems for a while, have basic operational knowledge rather than completely new users.
A 1 day remote training course for our Aztec Layerprobe system allowing best practise analysis and interpretations of results. The course will be held through Skype video call and time for each day will be agreed with participant. we will provide with all material needed.
Please book your course at least 3 weeks before the start date to give us enough time to arrange. Courses are for customers who have used the systems for a while, have basic operational knowledge rather than completely new users.
This course is made up of 3 days of remote training consisting of presentations and instruction from a live EDS and WDS combined system.
Please book your course at least 3 weeks before the start date to give us enough time to arrange. Courses are for customers who have used the systems for a while, have basic operational knowledge rather than completely new users.