31 computational-physics-superconductor PhD positions at University of Southern Denmark in Denmark
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• Certified copy of diploma (Master’s degree in a relevant field) Shortlisting may be used in the assessment process. Further information about the PhD-study can be found at the homepage of the University
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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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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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available scientific output (e.g., a conference poster or paper) Shortlisting may be used in the assessment process. Further information about the PhD-study can be found at the homepage of the University
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basic research. We are happy to move beyond traditional disciplines and work to develop new technologies and sciences across physics, chemistry, pharmacy, mathematics, computer science and biology. The
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Experience in mass spectrometry-based proteomics, structural biology, or CRISPR-mediated gene editing Proficiency in computational data analysis Strong communication and collaborative skills and an interest in
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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