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equivalent to PhD level in the relevant subject area for the research programme. They will be educated to degree level in a relevant field and have qualifications in participatory research methods, alongside
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are twofold. The first goal is to accelerate the solution of the large mixed-integer optimisation problems required to balance energy. The second goal is to develop methods that handle the increasing
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equivalent to PhD level in the relevant subject area for the research programme. They will be educated to degree level in a relevant field and have qualifications in participatory research methods, alongside
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with a focus on interpretability, robustness, and real-world applicability in healthcare settings. The role also involves developing reproducible research software and scalable data analysis pipelines in
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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or Natural Sciences. A PhD (or be close to submission) in Solid State Chemistry, Crystallisation or a related subject. Experience Experience in various synthesis and characterisation methods
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second goal is to develop methods that handle the increasing uncertainty associated with high renewable penetration in a more systematic and effective way. Specific responsibilities may include: Developing
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for candidates to have the following skills and experience: Essential criteria 1. PhD qualified in relevant subject area (thesis clause can be added if relevant) 2. Experience working with simulation
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and applying high-throughput experimental and analytical methods to investigate how environmental conditions and organic additives influence carbonate mineral formation. This will involve designing and
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responsible for the design and testing of original machine-learning based methods for fetal heart biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed