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Responsibilities: Conduct high-quality research in the field of AI, focusing on multi-omics data analysis and fusion for precision medicine Design and implement innovative AI algorithms and models to solve complex
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11th October 2026 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow within Renewable Energy
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models, and efficient algorithms for large-scale genomic data analysis. This is a one-year appointment starting as early as possible, with renewal possible based on the availability of funds, availability
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the theory and the implementation of neural networks (for instance, transformers, CNNs) and/or search algorithms (for instance, branch & bound search, beam search) strong programming skills, where
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collaboration that uses AI algorithms to recommend and coordinate experiments across distributed laboratories. Your work will focus on the synthesis and characterisation of AI-recommended conjugated materials
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-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs. The successful
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Bachelor’s degree at 2:1 or higher in Software Engineering, Cyber Security, Computer Science, or a closely related discipline. A higher degree, such as an MSc or PhD, in a relevant field, or equivalent
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Computer Science, a Bachelor of Science degree in Cybersecurity, a Master of Science degree in Computer Science, and two multidisciplinary PhD degrees in Computer Science and Information Systems and Engineering and
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. Research will evaluate how to foster AI literacy and “appropriate skepticism” while examining the cognitive risks of overreliance, algorithmic bias, and data privacy in production animal surveillance
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new results on the limits of coding against synchronisation errors and to develop new constructions of synchronisation error-correcting codes with efficient encoding and decoding algorithms. Place of