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We are seeking a motivated PhD student in computational materials physics, particularly AI-driven studies of nanomagnetism. The PhD student will work within an active research group in materials theory
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and motivated individual to pursue a PhD in the area of machine learning with focus on explainable clustering. The prospect PhD student will join a research team in KTH led by Professor Aristides Gionis
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to biological questions related to protein mapping, classification, and alignment with the Human Protein Atlas data resources. The PhD projects are funded by the Alpha Cell Program, with the long-term ambition
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Infrastructure? No Offer Description Project description Third-cycle subject: Technology and Health We are looking for an inquisitive person to pursue a PhD in Soft Robotic Medical Devices for Vascular
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-economic assessment of energy community solutions. The PhD candidate will engage in international cooperation with EU partners across Italy, Portugal, Greece, Belgium, and Sweden, while contributing
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spanning energy carriers, digital infrastructure, and business models. Traditional siloed approaches have proven insufficient in addressing the complexity of this transition. This PhD addresses
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the mathematical foundations of these fields, e.g., designing innovative algorithms and control strategies, as well as the development of technical solutions to adapt these new methods to applications in the areas
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currently in a strong phase of expansion and is investing in the development of advanced methods for the integrated analysis of biological systems. The platform is now recruiting three bioinformaticians
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The PhD student will work for the new project "ACCELERATE - Accelerate Transition to and Scale-Up of bio-CO₂ Utilization" that is funded by the Stiftelsen för Strategisk Forskning SSF. The project is a
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focuses on developing principled, scalable, and efficient methods for modeling complex temporal dynamics, with applications in probabilistic forecasting and data imputation. Possible research topics include