17 algorithm-development-"Multiple"-"Prof"-"UNIS" positions at Utrecht University in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Postdoc: Hybrid Geospatial Modelling and Scenario Development of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
-
for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency
-
develop innovative methods to measure diverse isotope dimensions for methane, as well as organic precursors, in order to trace carbon flow in methane-related ecosystems; 2) You will conduct culture
-
of the Debye Institute for Nanomaterials Science, with access to research schools, colloquia, career events, and social activities. Your job This PhD project aims to develop a nanostructured bijel
-
the information stored in our genome. Especially in germ cells and early embryos, where transcription is absent, regulation of translation is crucial for controlling protein levels and guiding development. In
-
University, you will develop innovative methods to make geographic data smarter and more question-aware, contributing directly to the future of spatial reasoning and sustainability. Your job Answering
-
such cases, maps must be created or transformed from data rather than simply retrieved. The GeoTrAnsQData project addresses this by developing a GeoQA method that converts questions into executable geo
-
, pathologists, led by PI/Assistant Professor Dr. Lonneke IJsseldijk. This position offers a dynamic and professional work environment with opportunities for professional development, including training through
-
addition to the terms of employment laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees. This includes arrangements for professional development , various types of leave, and
-
work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop surrogate and hybrid modelling frameworks combining process-based models with data science