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statistical methods, computational models and/ or machine learning algorithms to analyse environmental and infectious disease data; - Collaborate with multidisciplinary and international teams of researchers
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the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree will be advantageous
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materials synthesis, characterisation, and device fabrication. • Familiarity with computational modelling or data-driven analysis is advantageous. • Ability to work independently as
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The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for...
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of rhetoric, writing, and computer science. Editorial experience a plus. Publications a plus. The successful applicant will be expected to have experience in at least some of the following: project management
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conferences. About You You will be educated to doctoral level in Remote Sensing, Geography, Geoinformatics, Computer Science, Artificial Intelligence, Machine Learning or a related discipline. You will have
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doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area, such as Agronomy, Crop or Livestock Science, Genome Biology or Computer Science. Please note
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Augmented Human Lab , at the Smart Systems Institute, National University of Singapore is seeking a Research Assistant with expertise in Machine Learning, AI, and multi-modal interaction for developing context-aware small language models for a human-robot interaction system. As a Research...
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including historical linguistics, semantics, pragmatics, computational linguistics, phonology, or sociolinguistics. We would like to see candidates who can communicate with and learn from both linguists and
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, experimental psychology, computational neuroscience, or a closely related discipline. Strong experience in the acquisition, preprocessing and analysis of EEG data, including spectral and aperiodic EEG measures