47 computer-science-programming-languages positions at Chalmers University of Technology in Sweden
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
, you’ll also join WASP —Sweden’s largest individual research program ever, offering unparalleled resources, networking and career opportunities. Be part of shaping the future of AI! Project overview
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activities, which also include responsibility for the master's programme in Naval Architecture and Ocean Engineering and contributions to the education of seafarers. Your profile To qualify for this position
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the Swedish National Infrastructure for Computing (SNIC) and the Chalmers Centre for Computational Science and Engineering (C3SE). Learn more about the project and the research: Project overview Due
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for the PhD program at Chalmers. Participating in departmental duties, primarily teaching and supervising undergraduate students. Your profile We are seeking candidates with the following qualifications
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Are you a passionate researcher looking to contribute to the advancement of life science and make a meaningful impact on health, sustainability, and innovation? Join us as a Postdoc at Chalmers
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning
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candidates to also propose new directions aligned with their and our research (https://starlab.systems ). This position is funded by the prestigious WASP program, and as such comes exciting career development
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, and electromagnetics. Very good knowledge of programming (e.g. Matlab, Python, C/C++). Strong written and verbal communication skills in English. The following experience will strengthen your
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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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multicore architectures based on the RISC-V instruction set architecture. The goal of our team is to develop effective runtime support to program these architectures using the OpenMP and SYCL programming