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School of Education. As a postdoctoral fellow in the career program, you will be part of an interdisciplinary network centred on activities that strengthen research, networking and internationalisationin
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations
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Center for Computational Cognitive Neuro-Psychiatry (CCNP; https://ccnp.princeton.edu/about-ccnp/ ), including through an NIH-funded center on Latent Cause Inference (https://lci-conte.pni.princeton.edu
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, and multiomics experiments that probe islet cell transcriptional networks. Drive data acquisition and analysis (e.g., RNA-seq, ChIP-seq, functional assays) and co-author publications. Disseminate
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Researcher (R2) Application Deadline 12 Jul 2026 - 21:59 (UTC) Country Belgium Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Biodiversity Sciences at the University of Turku invites
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About us: The Faculty: The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in
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) Application Deadline 19 Aug 2026 - 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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The Pluskal lab at IOCB Prague combines cutting-edge experimental (e.g., LC-MS, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches