1,816 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"University-of-Southampton" PhD positions
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PhD fellowship in Section for molecular ecology and evolution at the Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen We are offering a PhD fellowship in Population
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The Young Investigator Group Perovskite-based Multi-Junction Solar Cells is looking for PhD Student (f/m/d) Development of All-Perovskite Triple Junction Solar Cells Your Tasks Manufacturing and processing
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PhD Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position in « Development of a Methodology for Designing Hybrid Semantic
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Applications are invited for a fully-funded four-year PhD position that will explore how rural youth (ages 18–30) use both online and offline methods to make sense of sustainable development and the
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Join us for this exciting self-funded PhD studentship on " Development of Sustainable and Cost-Effective Coatings to Mitigate Battery Thermal Runaway Propagation" in collaboration with
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
31.07.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, is inviting applications for a fully funded PhD position at the Technical University
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expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
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(Artificial Intelligence and Epidemic Modeling to Prepare Hospitals for the Next Respiratory Pathogen with Pandemic Potential). Project Overview The COVID-19 pandemic exposed critical gaps in our ability
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Your Job: The accelerated development of advanced materials is essential for addressing major challenges in energy, mobility, and sustainability. Traditional trial-and-error methods in materials