Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Universities (CAO-NU) (scale P). This is based on a full-time working week of 38 hours. We offer a temporary contract for 18 months which will be extended for the duration of the project if you perform well
-
and € 3.881 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU)); 8% holiday pay and 8.3% year-end bonus; a pension scheme
-
scale? This PhD position offers a unique opportunity to bridge social epidemiology, exposome research, and data science, pioneering new ways to understand how social exposures influence health over a
-
, applying advanced modeling techniques and analyzing large-scale datasets to contribute to healthcare policy decisions. The PhD project will be supervised by Dr. Nora Franzen and Professor Maarten J. IJzerman
-
extended by 2.5 years (4-year contract). You will receive a starting salary of €3,059 gross per month based on a 38-hour working week, which will increase to €3,881 in the fourth year (salary scale P ). You
-
extended by 2.5 years (4-year contract). You will receive a starting salary of €3,059 gross per month based on a 38-hour working week, which will increase to €3,881 in the fourth year (salary scale P ). You
-
to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors, clusters of buildings, and smart logistical planning, PRE-MADONA accelerates renovations using repeated, standardised
-
information in managing the present, understanding the past, and steering the future changes of human settlements across rural and urban scales. About the organisation The Faculty of Geo-Information Science and
-
experience, with a minimum of € 3,378 to a maximum of € 5,331 (salary scale 10, UFO profile Research Office 1) gross per month for a full-time position. 8% holiday allowance and 8.3% end-of-year bonus
-
quality. You will start your research at the landscape scale, and subsequently scale your work up to the full extent of the Netherlands. You will use, refine and add new relationships to existing empirical