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have a PhD in Computer Science (or be able to demonstrate equivalent research experience in modelling and simulation, software engineering research) and possess a deep and demonstrable knowledge
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position
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in USN’s PhD-program in within three months of accession in the position. About the PhD-project Carbon nanotubes (CNTs) are one of the most interesting nanomaterials due to their remarkable material
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the biological mechanisms linking cardiovascular diseases with cancer and cancer therapies. She uses human-induced pluripotent stem cells (iPSCs), patient-derived samples, genomics, and computational biology to
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team to drive innovation in plant breeding. Key responsibilities will include: Research: Conduct and publish high-quality research, develop a coherent research program, and actively pursue competitive
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of reports/papers and present in international peer-reviewed conferences and journals. To be involved in the mentoring of PhD/Masters/FYP students. Job Requirements: Preferably PhD degree in computer
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. Job Requirements: Preferably PhD in Computer Science or related field. Background and familiarity with the implementation and deployment of machine learning pipelines in embedded systems (e.g., robotic
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assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission