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UiO/Anders Lien 30th April 2026 Languages English English English PhD Research Fellow in Sociology- Punishment as a Vehicle for Change? Apply for this job See advertisement About the position
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committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff
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, machine learning, and life cycle assessment, we aim to create sustainable wearable systems to enhance human well-being. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a
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for PhD students and postdocs. Learn more at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported
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Warwick Business School, The University of Warwick; | Warwick, England | United Kingdom | about 1 month ago
, reinforcement learning, or VR technology are particularly welcome to apply. PhD Status If you are near submission of your PhD, or have not yet had it conferred, any offers of employment will be made at Research
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computational pipelines for multiplex imaging, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune
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The Center for Interdisciplinary Cardiovascular Sciences (CICS), directed by Masanori Aikawa, MD, PhD, at Brigham and Women’s Hospital and Harvard Medical School is seeking a postdoctoral research
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Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and
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and PhD students on computational mathematics and AI methodologies. Job Requirements: A PhD degree in Applied Mathematics, Computer Science, Engineering, or a related quantitative field. Deep expertise
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Learning techniques for investigation of fluid-structure interaction problems. Key Responsibilities: Undertake theoretical development of AI and physics-enabled data driven methodologies for fluids and