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faculty , including data-efficient probabilistic machine learning, generative modelling, amortized inference, interactive and cooperative machine learning, and transformative multidisciplinary collaboration
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one or more of these subjects are valued: machine learning, automatic control, system identification, optimization, signal processing, filtering and smoothing, probabilistic modelling, dynamical systems
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developing the next generation of ground-shaking models. These will be used for probabilistic seismic hazard assessments, real-time post-event predictions of shaking and damage, and/or earthquake early warning
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team led by Ass.-Prof. Dr. Matija Bucic. Our ideal candidate will bring a pronounced interest in developing and applying of ldeas in extremal and probabilistic combinatorics and finding applications and
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Expression Microarray, Genome Sequencing, Group Problem Solving, Java, Machine Learning (ML), Model Organism, Perl Programming, Probabilistic Modeling, Python (Programming Language), Statistics, UNIX
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uncertainties in grouting design can be described and quantified using probabilistic methods. Exploring how grouting design can be formulated as verification of limit states, and conducting analyses to evaluate
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-D printing and design innovation in structural engineering, structural health monitoring, and reliability and probabilistic risk assessment. Preference will be given to candidates who can establish
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mechanics, machine learning, computational mathematics, and probabilistic modeling, with direct applications in medical imaging and beyond. Details can be found in the link below. The position is suitable
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Augmentation and Collaboration ; Natural Language Processing ; Physical and Embodied Interaction ; Probabilistic and Symbolic AI ; Quantum Systems Analysis and Synthesis ; Systems Design & Development Practices
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datasets, and large-scale statistical studies comparing different methods. The successful candidate will be jointly supervised by: Dr Edward Gillman (https://www.nottingham.ac.uk/physics/people