69 application-programming-android positions at Chalmers University of Technology in Sweden
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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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Chemistry, Materials Science, or a related field, awarded no more than three years before the application deadline* Documented experience in inorganic chemistry and/or hydrometallurgical methods Proficiency
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investigating the fundamental response of quick clays using X-ray based experimental methods and fundamental modelling Experience in programming Merits: Understanding of the mechanics of colloid systems
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in a holistic way for high-value academic publication and applicability in future generation communication systems. Who we are looking for: To qualify as a PhD student, you must have a Master's degree
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programming Merits: Experience in modelling erosion problems Understanding of critical state soil mechanics, elasto-plastic and elasto-viscoplastic models Experience in numerical analyses (using finite elements
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benefit analysis with more practical aspects, such as implementation and real-world applications, in collaboration with project partners Volvo Cars and Autoliv. About us The project is located within
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years. However, depending on the Department’s needs, the position may include teaching in the Master’s Program Design and Construction Project Management (MPDCPM) or performing other institutional duties
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value creation in architectural design. It also hosts two research centers: Your profile We welcome applicants with a Master’s degree in architecture or equivalent education, such as building conservation
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in a large project rather than on your own in a single project. The following experience will strengthen your application: Experience in energy storage, organic synthesis, or materials characterization
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, synthetic aperture radar, and optical spectroscopy, while bringing new capabilities in areas such as innovative sensor development, retrieval algorithms, novel applications, and other forward-looking areas