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dr. JW (Hans) Ligtenberg
https://www.eur.nl/en/ese/people/hans-ligtenberg
Hans Ligtenberg is a postdoctoral researcher in econometrics at the Erasmus University Rotterdam. His research focuses on causal inference, in particular…
- Researcher Profile
- Researcher - Erasmus School of Economics
dr. J (Jehum) Cho
https://www.eur.nl/en/ese/people/jehum-cho
Jehum Cho is assistant professor at the Operations Research group at the Econometrics Institute of the Erasmus School of Economics, Erasmus University Rotterdam…
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- Assistant professor - Erasmus School of Economics
dr. TD (Timo) Schenk
https://www.eur.nl/en/ese/people/timo-schenk
I am an Assistant Professor (tenure track) in econometrics at Erasmus University Rotterdam. Before that I was a Postdoc at Aarhus University. I obtained my PhD…
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- Assistant professor - Erasmus School of Economics
FPM (Florian) Van Genderen, MSc
https://www.eur.nl/en/ese/people/florian-van-genderen
Personal website
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- PhD candidate - Erasmus School of Economics
Y (Yuanyuan) Su
https://www.eur.nl/en/ese/people/yuanyuan-su
- Researcher Profile
- PhD candidate - Erasmus School of Economics
RWM (Robin) Verbeek
https://www.eur.nl/en/ese/people/robin-verbeek
- Researcher Profile
- PhD candidate - Erasmus School of Economics
MMJ (Mirthe) Hendriks, MSc
https://www.eur.nl/en/ese/people/mirthe-hendriks
- Researcher Profile
- Visiting fellow - Erasmus School of Economics
Models and Algorithms for Railway Rolling Stock (Re)Scheduling
https://www.eur.nl/en/ese/department-econometrics/phd-projects/models-and-algorithms-railway-rolling-stock-rescheduling
With millions of passenger train trips each day, railway networks play a big role in the mobility systems of many countries.
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Information Desk
https://www.eur.nl/en/ese/education/practical-matters/information-desk
Information Desk
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Integrating Timetabling and Crew Scheduling at NS
https://www.eur.nl/en/ese/department-econometrics/phd-projects/integrating-timetabling-and-crew-scheduling
Given a timetable, it might not be possible to create a feasible crew schedule in which all tasks are covered in times of crew shortage.
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