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-physical systems security, protection of critical infrastructure, and adversarial machine learning. The position will involve collaborating with faculty and graduate students on interdisciplinary research
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, Southeast Asia, and the Netherlands. For more information, see here: https://cordis.europa.eu/project/id/101230109 Details: 1x Postdoc in History of Science or Digital Humanities Information on Call and
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http
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London, Prof. Alexei Lapkin from the University of Cambridge, and industrial collaborators, within the AIChemy Hub (https://aichemy.ac.uk/). The successful candidate will focus on developing an advanced
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English Proficiency in machine learning and large omics data analysis is preferred. Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMB0326/MD/DIIA Requirements Research FieldComputer science
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that shape aging trajectories. The project aims to analyze omics data (e.g., genomics, epigenomics, metabolomics, and proteomics) with Mendelian randomization and machine learning methods with longitudinal
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environment. The full job description is available, here: https://drive.google.com/file/d/14vuatOC6NKg9w4j91r_Zb6KF8lTxUoe5/view?usp=sharing Job Requirements REQUIRED: A PhD in neuroscience, computer
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quantitative and machine learning approaches ● Developing predictive models linking nuclear features to future cell fate ● Interacting with collaborators in imaging, computational biology, and developmental
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childhood adversity (Buimer et al., 2025, preprint https://europepmc.org/article/ppr/ppr1071622 ). The project examines how adversity affects social learning and self-esteem, and how these processes