2,590 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" PhD positions
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experiments, as well as for its applications in medical imaging. For that, it collaborates with MedAustron, an ion cancer therapy and research center. Within this collaboration, we design and develop ultra-fast
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is to increase donor organ utilization through merging cell therapy techniques with state-of-the-art organ perfusion strategies. PhD project The aim of the PhD project is to develop and implement a
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minimally capable of running on the edge, ideally of running on power-efficient embedded hardware. The ultimate goal is to demonstrate the viability of the developed approach in multilayer electrospinning
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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 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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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 2 months ago
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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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
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they capture not only the quantity of recycling, but also the quality and sustainability of circular strategies. The candidate will develop an integrated framework to assess both circularity and sustainability
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-house gelatin- and peptide-based formulations, which will be further refined through integration with advanced scaffold materials developed by partners (such as plasma-activated materials). These bioinks
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms