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) for the design and analysis of experiments. Experience of neuroimaging (e.g. fMRI or MEG) and computational modelling is desirable, but not essential. We encourage candidates from diverse range of backgrounds who
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and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami) at the Department of Computer Science, aligning with
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The NUS Business Analytics Centre (BAC), a joint initiative between NUS Business School and the School of Computing, oversees the Master of Science in Business Analytics (MSBA) (https
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 21 hours ago
a model system. Current projects integrate high-throughput genomic sequencing, single-cell sequencing, bioinformatic analyses, and CRISPR-Cas gene editing to investigate fundamental questions in
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
Job Status Full-time Hours Per Week 35 Offer Starting Date 16 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI/FCT2026/i3S
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The Signature Research Programme in Neuroscience and Behavioural Disorders (NBD) is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying
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language processing, working with Professor Gibson, Dr Batista-Navarro and the wider PRISM team. About You We are looking for a collaborative researcher with advanced computational skills and relevant social science
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damage from disease and injury. We are looking for recruits whose research program that align with any of the current research themes at ARMI: https://armi.org.au/our-groups/ Heart and Muscle Development
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, molecular biology, cell biology, immunology, and in vivo model systems. For more information about Dr. Zhaohui Gu’s lab, please visit: https://gu-lab.net and https://www.cityofhope.org/Zhaohui-Gu As a
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proficiency in multiple programming languages such as Python/R, with experience in computational analysis of omics datasets. Experience with AI/ML algorithms and prediction model development. Familiarity with