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mentoring for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz-juelich.de/en
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focus of the dissertation will be on advancing AI agent-based systems within the MEP construction supply chain. The position is located at the Faculty of Built Environment within the Real Estate
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imaging data. Building on recent critiques of overfitted prediction models, the project will implement a structured, multi-tiered analytical framework, comparing classical regression techniques with modern
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the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations
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imaging to resolve molecular structure and guide engineering Protein design and molecular modeling, supported by AI tools such as AlphaFold2 Development of functional assays in insect and bacterial systems
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A post-doctoral Research Associate position in Neurocomputation is available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab, Univ of Cambridge, UK (http://www.abg.psychol.cam.ac.uk ). Are
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 2 days ago
for matching and aligning anatomical structures Where to apply Website https://umfst.ro/info-studenti/studii/doctorat/cercetatori-postdoctorali/ Requirements Research FieldOtherEducation LevelPhD or equivalent
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of robotic fabrication in architecture and construction. The Chair of Timber Structures advances education and research in timber engineering through the Program for Excellence in Timber Engineering. The Chair
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will be on automated asset and layout creation from 3D reconstruction techniques, structural-functional plant models and environmental modelling. For that purpose, we are looking to recruit a Post
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. This postdoctoral position is funded through Hi!PARIS Chair ATLAS (Advancing efficient, reliable and science-informed Learning for non-euclidean data with Application to molecule and biological network Structures