19 computational-science PhD positions at Delft University of Technology (TU Delft); yesterday published
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mechanisms. Work in a collaborative, interdisciplinary, and dynamic environment with leading experts in machine learning, computational biology, and neurogenomics. Access cutting-edge datasets, infrastructure
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Job description The TU Delft’s Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), invites applications for a fully funded PhD position. This exciting project aims
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mechanisms. Work in a collaborative, interdisciplinary, and dynamic environment with leading experts in machine learning, computational biology, and neurogenomics. Access cutting-edge datasets, infrastructure
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professional growth in the rapidly evolving field of electronic circuits and systems. Job requirements Essential Requirements: MSc degree in Electrical / Electronic / Computer Engineering, or a closely related
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PhD in the Pavement Engineering section, where your project is part of a larger research program, KPE, that the section carries out together with the Dutch Organization for Applied Scientific Research
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description Join the Extreme Materials & Mechanics (X2M) Group at the Department of Materials Science and Engineering (MSE), TU Delft, in a cutting-edge PhD project that aims to revolutionize how stainless
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experts (biomechanics, anatomy, medical imaging, clinical sciences). Analyzing and integrating complex experimental datasets to support the development of accurate, demographically inclusive musculoskeletal
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and machine learning. Master of Science (MSc) diploma in Transportation, Robotics, Computer Science, Logistics, Operations Research, Industrial Engineering, Applied Maths or any other related field
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technology experts work together to build a framework on open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you
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Harnessing Nonlinear Dynamics: From Data-Driven Discovery to Engineering Job description Nonlinear dynamics lies at the centre of many mechanical systems, from large-scale structures to nanoscale