71 application-programming-android-"Prof" positions at Chalmers University of Technology
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in fluid dynamics, turbulence modeling, CFD, and turbomachinery. Experience with CAD and CFD tools (e.g., Ansys Fluent, CFX, StarCCM+, OpenFOAM). Programming skills (e.g., Python, MATLAB). Knowledge
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. Qualifications Qualified candidates should possess a Bachelor's degree in a relevant field, such as Architecture or Engineering, with expertise in 3D modelling in Rhino, building simulation, visual programming and
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We invite applicants to join our team in Air Quality within Energy conversion and propulsion systems. We are looking for a Doctoral student to study Reduction of brake wear emissions from urban
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learning, and control is essential. Applicants should also demonstrate: High academic achievement in relevant undergraduate and graduate courses Proficiency in programming (C/C++, Python) and experience with
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explore other medical applications where sensor-based monitoring and AI can provide clinical value. Main responsibilities Your major responsibility is to pursue research in line with the project, publish
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NEST project RAM³, which aims to enable the use of recycled aluminium in high-performance applications through machine learning, computer vision, and materials science. The focus of this position is on
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artificial intelligence is transforming human culture and collective memory. The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a national research program in
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foundational and applied topics in computer vision and machine learning, with particular strengths in inverse problems, generative models, and geometric deep learning. We work across diverse application areas
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of neural networks and other symbolic techniques with applications ranging from mathematics to cognitive science, and often in cross-disciplinary collaborations. In this project the PhD student will work
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generalized, cross-layer defense framework that integrates network-level mitigation and application-level optimization to comprehensively protect distributed AI training from network threats while maintaining