Sort by
Refine Your Search
-
spatio-temporal analysis based on big geospatial data. The PhD student will work closely with Prof. Haosheng Huang (https://users.ugent.be/~haohuang/ ) and Prof. Christophe Vandeviver (https
-
in the top 10% of their cohort. Proficiency in software engineering and knowledge of python are a plus. You should be a native speaker of English or Dutch, or provide proof of English proficiency
-
at providing a comprehensive understanding of soil N flux dynamics, and coordinated by UGent, with Prof. Abdul Mouazen, named as the project coordinator. NitroScope will make a combined use of different
-
understanding of soil N flux dynamics, and coordinated by UGent, with Prof. Abdul Mouazen, named as the project coordinator. NitroScope will make a combined use of different measurement techniques to reduce
-
, diligent and punctual person capable of teamwork and with attention to detail and rigor. Experience in building and/or working with ultrafast lasers and matching optical setups and Python coding is a clear
-
monitoring disturbances from both satellites and ground-based sensors. The latter is expected to contribute to the further development of the pylidar repository. This PhD project will be promoted by prof. Kim
-
related field. The candidate should have excellent programming skills (e.g., Python), expertise in machine learning and fluency in English (speech and writing). Prior knowledge of neuroscience and/or deep
-
LLM, VLM and embodied AI, with specific applications to collaborative interaction with people. You will be supervised by Prof. Tony Belpaeme (www.tonybelpaeme.me) and will be part of a vibrant and
-
Python and are fluent using GitHub in a team setting. You have basic working knowledge on fundamental computer vision tasks such as temporal and spatial segmentation as well as stereo vision. You have
-
conferences participating in the supervision of undergraduate and postgraduate students cooperating with researchers active within the research group and outside The research project is led by Prof. Fuhui Shen