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into the mechanisms governing hydrogen-induced degradation and failure of circular steels. As a PhD researcher, you will: Perform advanced 3D microstructural characterization of circular steels, focusing on segregation
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. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned interatomic
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
, biophysics, cell biology, chemical biology, and synthetic biology? The International Max Planck Research School for Living Matter: from molecules to dynamics (IMPRS-LM) is a joint PhD program between the Max
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A1232 Working Title PhD MSE - Research Assistant Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Mechanical
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11th October 2026 Languages English English English We are looking for a PhD student in Computational Neuroscience at the Kavli Institute for Systems Neuroscience PhD in Computational Neuroscience
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to the faculty's Doctoral Programme (link), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science, Cyber Security, or an equivalent field. Your
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invite you to apply for this PhD position on Curiosity in the Classroom at Radboud University. Curiosity is a powerful driver of learning, yet we still know relatively little about how curiosity unfolds in
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Architecture, Planning and Management at the Swedish University of Agricultural Sciences (SLU) seeks a driven and committed PhD student with a focus on how governance structures, decision flows, departmental
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Fully Funded PhD Studentship (UK Students Only) Real-Time Sub-THz Electromagnetic Sensing and Machine Learning for Dynamic Particulate Characterization University of Birmingham with support from
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is seeking a highly motivated PhD candidate to work on a fundamental research project on systems and control theory for learning in neuromorphic circuits. Neuromorphic computing is an analog, brain