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-based machines, through a mixture of extreme parallelism (quantum superposition) and probabilistic computing. Less prominent examples include for instance neuromorphic compute approaches such as the
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search committee, via Interfolio at https://apply.interfolio.com/194876 Please prepare an application containing a cover letter, your curriculum vitae, statements of research and teaching interests, a
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monitoring, earthquake physics, ground-motion modelling, site response, exposure and vulnerability, and probabilistic seismic hazard and risk assessment, working to strengthen Singapore’s national capabilities
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, probabilistic modeling, and learning from noisy or incomplete data is a plus Practical experience with High Performance Computing (HPC) systems is an advantage Your experience should be documented
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available within the LESYNCH ERC project to explore the application of probabilistic methods and tools from pseudorandomness to improve our understanding of the limits of coding against synchronization
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imaging modalities Experience in one or more of the following areas: object detection and segmentation, multi-object tracking, time-series analysis, probabilistic modeling and uncertainty quantification
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University of Amsterdam (UvA) | Amsterdam, Provincie Noord-Holland | Netherlands | about 2 months ago
ask of you This is an interdisciplinary project that combines machine learning and AI, probabilistic risk modelling, hydrology and actuarial science. We realize that candidates will usually have
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, modelling, and interpreting biological systems. The subject includes mathematical and probabilistic modelling of biological processes, method development for large-scale molecular and cellular measurement
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responsibilities may include some management, mentoring (PhD, MSc and BSc) and teaching-related tasks. Where to apply Website https://www.academictransfer.com/en/jobs/364219/junior-postdoc-position-sensori
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heterogeneous data into quantitative, decision-ready models. The work comprises two connected activities: (i) probabilistic modelling of microbial spoilage for shelf-life prediction, extending an established