21 programming-"https:"-"https:"-"https:"-"HFML-FELIX" positions at Utrecht University in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
(or nearing completion of) an MSc program in Human Geography, International Development Studies, Critical Agrarian Studies, or a related Social Science discipline; An interest in the impacts of land use
-
Development Programme.
-
Geography, and Sustainable Development. The Department of Human Geography and Spatial Planning runs the ‘Urban Futures’ research programme, in which faculty from different human geography and spatial planning
-
European workplaces and gender (in)equality’. The project is part of the Horizon funded programme ‘Reimagining Work and Care: Gender Equality, Couple Dynamics, and Policy Innovation in Europe (REWORC), led
-
and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior exposure to firm-level
-
; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python, JavaScript, PostgreSQL) with clear expertise in front-end and
-
(max. 10% of your time). Your qualities We are looking for an enthusiastic candidate, who has (almost) finished a Master programme in Sociology, Interdisciplinary Social Science, or a related field; has
-
personalised training programme will be set up reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses and/or
-
training programme will be set up reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses and/or workshops
-
for a motivated candidate with strong technical and programming skills and relevant project experience to join this interdisciplinary research team at the forefront of GeoAI and question answering