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PhD students



This page is targeted at PhD students already enrolled at GSST. 

If you are looking for information about application or admission to one of our PhD programmes, please click the button


2018.09.03 | Talent development, PhD students

AU Career invites you to PhD Career Day

Meet and network with companies, and learn more about your job opportunities in the industry.

Aarhus University

2018.08.17 | Talent development, PhD students

PhD Course: Mixed Models

Seats are still available on this scientific skills course aiming to provide the basic tools for using Mixed Models (including Gaussian Linear Mixed Models, Models for Repeated Measures, Generalized Linear Mixed Models and simple Multivariate Generalized Linear Mixed Models)

2018.08.09 | Talent development, PhD students

PhD Networking Seminar: Transition from PhD to postdoc – Career planning, Strategies or Coincidences?

PhD students in Denmark from all universities and fields of study are invited to a one-day seminar about career planning and the transition from PhD to Postdoc.

2018.08.08 | PhD students, Talent development

Stay Abroad Workshop for PhD students

A PhD degree programme at the Graduate School of Science and Technology includes participating in active research environments, including stays at other, mainly foreign, research institutions. Going abroad gives you the opportunity to make international contacts and gain new perspectives on your research. Furthermore, it can be a big experience…

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Natalia E.L. Madsen.

2018.10.22 | PhD defence

Disrupting ant-aphid relationships to improve biological control of pests

PhD defense, Monday, 22 October 2018. Natalia E.L. Madsen.

Mari Reiten.

2018.10.17 | PhD defence

How can calf morbidity and mortality be decreased in organic dairy herds?

PhD defence, Wednesday 17 October 2018. Mari Reiten.

Tillie Marlene Madsen

2018.10.03 | PhD defence

How to use the earth as a heat source

PhD defence, Wednesday 3 October 2018. Tillie Marlene Madsen

Yujin Shin

2018.09.28 | PhD defence

Predicting Flood Risks on Massive Terrain Data

PhD defence, Friday 28 September 2018. Yujin Shin.

Peter Olsen

2018.09.27 | PhD defence

Automated estimation of the modal parameters for civil structures

PhD defense, Thursday 27 September 2018. Peter Olsen.

Huijun Liu.

2018.09.27 | PhD defence

What is the role of rhizobial glycans and ethylene in rhizobia-legume symbiosis?

PhD defence, Thursday 27 September 2018. Huijun Liu.

Kahsay Haile Zemo

2018.09.27 | PhD defence

Farmers’ biogas supply behavior and Challenges to Implementation of biogas facilities

PhD defence, 27 September 2018, Kahsay Haile Zemo.

Qianyun Guo

2018.09.26 | PhD defence

Statistical Modelling of Mutations in Cancer Genomes

PhD defence, Wednesday 26 September 2018. Qianyun Guo.

Pil Birkefeldt Møller Pedersen
Photo by Pil B. M. Pedersen

2018.09.24 | PhD defence

Rewilding: chasing empirical evidence of ecological consequences and opportunities

PhD defence, 24 September 2018. Pil Birkefeldt Møller Pedersen.

Rasmus Kock Flygaard

2018.09.21 | PhD defence

Regulation of protein synthesis – mechanisms essential to bacterial as well as human life

PhD defence, Friday 21 September 2018, Rasmus Kock Flygaard.

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Thu 20 Sep
13:00-15:00 | 5125-120, Edison Building, Department of Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus
PhD defence: A silicon-photonic-based-transmitter for energy-efficient microwave generation
PhD student Hakimeh Mohammadhosseini, Department of Engineering
Thu 20 Sep
13:15-15:15 | 1531-119, Lecture theatre D2, Department of Mathematics, Aarhus University, Ny Munkegade 120, 8000 Aarhus C.
Qualifying exam: Global-Change Ecology of Gymnosperms
PhD student Ditte Arp Jensen, Department of Bioscience
Fri 21 Sep
10:00-14:00 | 8814-3075, Auditorium, Aarhus University, Blichers Allé 20, 8830 Tjele
PhD student Malene Jakobsen, Department of Agroecology
Fri 21 Sep
10:15-12:15 | 1593-218, iNANO House, Aarhus University, Gustav Wieds Vej 14, 8000 Aarhus C
Qualifying exam: DNA SHAPES - A New Method for Characterization of Complex Mixtures, Combining SELEX, Next Generation Sequencing, and Supervised Machine Learning
PhD student Søren Fjelstrup, iNANO
Fri 21 Sep
13:15-15:15 | 1593-012, Auditorium iNANO House, Gustav Wieds Vej 14, 8000 Aarhus
PhD defence: Improving computational methods for modeling reactivity
PhD student Esben Leonhard Kolsbjerg, iNANO

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Revised 18.09.2018