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design, interpret results and perform model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open
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(AMAAI) at Singapore University of Technology and Design (SUTD) is seeking a talented Research Assistant or Research Fellow — essentially a coding wizard — to join us in pushing forward large-scale
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are committed to supporting all staff through flexible working schemes, family-friendly policies, training and development, and staff networks. We value the enrichment that comes from a diverse community and seek
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 24 days ago
Job Code: PIC20260326 Job Offer from March 27, 2026 The Max Planck Institute for Political and Social Science in Göttingen conducts interdisciplinary research into pressing issues of social and
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and/or prior experience working with youth). Candidates who have experience with research on sexual and reproductive health and/or have a professional network (clinical or academic) in this field will
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stations networked across Central America, creating an unprecedented multi-platform observation system. Building on this success, a second major aircraft campaign is planned for summer 2028 to further
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mathematical modelling, preferably with ordinary and/or delay differential equations, is a requirement. Experience with machine learning and neural networks is a requirement. Experience with model
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Organization U.S. Department of Defense (DOD) Reference Code NAMRU-SA-2026-0005 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description Naval Medical
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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collaborative projects aligned with the University’s strategic research priorities. A key part of the role is building strong research networks across RMIT and with national partners, ensuring the Fellow’s work