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Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions
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2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department
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Master's program in Environmental Engineering and is involved in both the Bachelor's and Master's programs in Energy Technology and Integrated Design and Sustainable Product Development. For more information
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information about the PhD program, please contact PhD coordinator, associate professor Romana Careja, rca@sam.sdu.dk. Application and assessment process An application must include: Application form A project
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senior scholars across Europe. This includes participation in six international training weeks, and international secondments with academic and non-academic partners. Requirements and programme structure
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information about the PhD program, please contact PhD coordinator, associate professor Romana Careja, rca@sam.sdu.dk . Application and assessment process An application must include: Application form A project
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips
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existing skills and skills you would like to develop (max. 2 pages) A detailed CV, including personal contact information A certified copy of diploma and transcripts (Master’s degree in a relevant field) One
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performing tests, possibly in collaboration with clinical partners. Qualifications Applicants should hold a MSc in electronics, computer engineering, Physics, or a closely related field. Required Qualification
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems