15 programming-"Multiple"-"U"-"Prof" "NTNU Norwegian University of Science and Technology" PhD positions at Utrecht University in Netherlands
Sort by
Refine Your Search
-
that complement your work. A 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
-
. You already have good background knowledge on atmospheric composition and greenhouse gas cycles and experience with isotope measurements. Next to this you find yourself in one or multiple
-
in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
-
MSc in physics, applied mathematics, environmental sciences, computational science or a related field; excellent skills in scientific programming and numerical/statistical analysis of simulated and
-
. About fifty graduate and more than a hundred undergraduate students start each year in the broad Bachelor's programme and the four specialised Master's programmes. The Physics department is located
-
supporting the clinical programme in all activities related to the in vitro production and preservation of equine embryos (ovum pick-up, oocyte maturation, intracytoplasmic sperm injection, IVF, embryo culture
-
: 9 September 2025 Apply now Are you eager to jump-start your career in Differential and Probabilistic Programming? As a PhD candidate in the ERC project FoRECAST, you’ll work independently and in a
-
you received during your master program, via the ‘apply now’ button. Please note that international candidates that need a visa/work permit for the Netherlands require at least four months processing
-
, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
-
comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach