19 computational-materials-physics PhD positions at University of Southern Denmark in Denmark
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reserves the right to arrive at a decision solely based on the material submitted. Shortlisting may be used in the assessment process. Applications will be assessed by a committee. When the assessment
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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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and systems integration. The research at SDU LCE focuses on Environmental Systems Analysis, including Material Flow Analysis (MFA), Life Cycle Assessment (LCA), Energy System Analysis (ESA), Industrial
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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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can be rejected without further assessment. The department reserves the right to arrive at a decision solely based on the material submitted. Shortlisting may be used in the assessment process
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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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Job Description The SDU Center for Energy Informatics is pleased to announce 3-year PhD positions in AI-driven decision support and digital solutions for sustainable energy and industrial systems
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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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nanophotonics, and mesoscopic physics, possibly combinations of the above. The positions are funded by POLIMA DNRF funding, and the students will be supervised by Professor Christos Tserkezis and Professor Joel D
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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