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empirically test a Three-Channel Interview Assessment Model combining: verifiable attributes such as qualifications, work samples and assessed skills; self-reported information such as experience, motivations
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). This exciting translational role sits at the intersection of innovative stem cell engineering and disease modelling, targeting genetic, metabolic, and immune-driven pathologies. You will utilise proven kidney
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-term and follows Aalto's standard 2+2 model. It will be made initially for two (2) years, with a six (6) month probationary period, and extended by two (2) further years after a successful mid-term
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health. Successful candidates may have experience in electron or X-ray microscopy, image analysis, AI and machine learning, quantitative data science or computational modelling. They will be able to work
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and