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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
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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
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Medicine (Director: Prof. Dr. Daniel Rueckert) is seeking to fill PhD candidate position (TV-L E13, 100% for 3 years) in Privacy-Preserving and Reliable Artificial Intelligence to be occupied starting from
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, 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
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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
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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
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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
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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
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master’s degree in Computer Science, Geodesy, or related discipline Very good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies
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good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies Experience with remote sensing data is a plus Experience with industry