28 data "https:" "https:" "https:" "Dr" "Robert Gordon University" PhD positions at Utrecht University
Sort by
Refine Your Search
-
position, please contact Dr. Gianmaria Colpani at g.colpani@uu.nl . Candidates for this vacancy will be recruited by Utrecht University. Website for additional job details https://www.academictransfer.com
-
, whereas the second position to work package 2: Non-traditional data sources as auxiliary variables and multisource statistics issues. The PhD candidates will be supervised by Dr Angelo Moretti, Dr Camilla
-
in exciting scientific communities on innovation and technology assessment. The project will be supervised by Dr Matthijs Janssen and Prof Wouter Boon . Where to apply Website https
-
For more information, please contact dr. Luke Parker at luke.parker@tno.nl and/or prof. dr. Roel Vermeulen at r.c.h.vermeulen@uu.nl . Candidates for this vacancy will be recruited by Utrecht University
-
’ button. Additional comments For more information, please contact dr. René Verburg at r.w.verburg@uu.nl , dr. Daniel Martins Figueiredo at d.m.figueiredo@uu.nl or Professor Roel Vermeulen r.c.h.vermeulen
-
and it will be supervised by Prof. Dr. Niki Frantzeskaki , Assistant Prof. Dr. Katharina Hölscher and Assistant Prof. Martijn Kuller . Additional Information Benefits We offer: temporary position (0.8
-
fundamental – Be one of them #FundamentalConnection Additional comments For more information, please contact Prof. dr. S. (Sanne) Abeln at s.abeln@uu.nl . Do you have a question about the application procedure
-
. Commercial response to this ad is not appreciated. Additional comments For informal information (not for application) about this position, please contact Prof. Dr Marc Bierkens at m.f.p.bierkens@uu.nl
-
For more information (not for application) about this position, please contact Dr Lennart de Groot at l.v.degroot@uu.nl . Candidates for this vacancy will be recruited by Utrecht University. Website
-
statistics issues. The PhD candidates will be supervised by Dr Angelo Moretti, Dr Camilla Salvatore and Prof. Peter Lugtig who are part of the world leading group of Data Quality within the Department