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/english/research/projects/activate/index.html The researcher will be part of a growing team of researchers, postdocs and PhD students working on intelligent observing systems using machine learning and data
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, postdocs and PhD students working on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE project. The main purpose of a postdoctoral fellowship is to provide
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be used to generate new readings of the Timaeus, and related Platonic dialogues. The research team will consist of three post-docs, two PhD students, the PI, and associated international experts
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submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded. Applicant should have a genuine interest in AI the learning
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Professional qualifications (required) Relevant PhD degree (e.g. computer science, machine learning, statistics) Experience in developing deep learning models for 3D point cloud data Strong programming skills
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for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded. Applicant should have a genuine interest in AI the learning sciences, and the research proposal must
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for the Science of Learning & Technology (SLATE), Faculty of Psychology there is a vacancy for a postdoctoral research fellow position within artificial intelligence and education. The position will also
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consist of three post-docs, two PhD students, the PI, and associated international experts. The appointed post-doc will work along the three axes of the project, the early Pythagoreans, the Timaeus, and
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PhD degree is required. Develop protocols for real-time phenotyping of NUE-related traits using the TraitFinder phenotyping system. Build and validate digital twin models using 3D point cloud and
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/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines for plausible narratives of regional climate change, novel algorithms for rare