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develop learning-based methods for maritime tracking and prediction in time- and safety-critical applications. Artificial intelligence techniques will be utilized in order to improve detection capabilities
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10th January 2026 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD Candidate PhD Candidate in radar tracking with AI Apply for this job See
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24th November 2025 Languages English English English Kavli Institute for Systems Neuroscience has a vacancy for a PhD combining optical imaging with 3D tracking to map neural coding of body posture
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Research Scholar. The Department of Business and Management Science is responsible for a specialisation in the NHH PhD programme. The specialisation has two tracks: Business Economics Core courses in
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algorithms for inference and decision-making by pushing the boundaries of computational techniques. The research emphasizes efficiency in resource and data usage, reducing environmental impact, and ensuring
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close collaboration with industry and the public sector. The primary objective of SURE-AI is to create a new generation of algorithms for inference and decision-making by pushing the boundaries
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the study of plant-plant or plant-invertebrate interactions Experience in nematology or nematological methods Strong quantitative skills (e.g., generalized linear mixed models, permutational methods, Bayesian
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mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
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qualifications Strong publication record in peer-review journals Experience with obtaining external funding Knowledge of and experience with marine biology and ecology Experience with demographic genomic inference
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analysis and coalescent based species inference, and synthesis in the form of a formal revision. Supervisors: Prof. Michael D. Pirie (main; Department of Natural History, University Museum, University