The scientific PhD courses ensure that you receive the necessary theoretical and specialised training within your field.
You can choose from the selection of advanced courses available within your field of research, as well as courses with a wider and often interdisciplinary scope.
The below list of scientific courses will be updated regularly.
2023:
Nonlinear Integrated Photonics (16–20 October 2023)
2022:
Quantum Computing and Chemistry (4 April -1 June 2022)
2021:
2020:
2024:
Ecosystem roles of megafauna in the past, present, and future—theory and methods for basic and applied science (30 September - 4 October 2024)
Visualisation of Biological Data (22 - 26 January 2024)
2023:
Ecosystem roles of megafauna in the past, present, and future—theory and methods for basic and applied science (6 - 10 november 2023)
2022:
Ecosystem roles of megafauna in the past, present, and future—theory and methods for basic and applied science (28 November – 2 December 2022)
2021:
Constructed Wetlands for Water Pollution Control (19 – 25 September 2021)
2019:
Online analytical chemistry: Instrumentation, application, and data analysis (Q1 2024)
2023:
Introduction to Science teaching CS version (January - May)
2022:
2021:
2024:
2023:
2022:
2021:
2020:
2019:
2024
Electrochemistry in Biomedicine and Nanobiotechnology (March - April 2024)
X-ray computed tomography in practice I: application of µCT to investigate materials (January 2024)
2023
2022
X-ray computed tomography in practice I: application of µCT to investigate materials (14-18 November 2022)
Scanning Tunneling Microscopy Users Course (week 43-50 2022)
2021
2020:
2019:
2023:
2022:
2021:
2020:
2019:
An introduction to CUDA (Autumn 2019)
