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methods. The interest areas are (but are not limited ): to novel electronic structure and methods, light-matter interactions modeling, topological phenomena, magnetism, superconductivity, quantum
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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. Candidates should hold a PhD in Natural products chemistry, Phytochemistry, Cell biology, Pharmacognosy, Cosmetology, or a related field. The successful candidate will focus on developing new formulations with
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separation and magnetic phenomena, as well as expertise in experimental methods to study the interactions between magnetic fields and solid and liquid materials. Additionally, knowledge of the physical and
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security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning
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of the candidate: PhD in atmospheric sciences or a closely related field The candidate should have experience in climate model development and assessements A strong programming background and use of HPC are required
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, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their
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PhD degree from a recognized university and with substantial expertise in Cybersecurity & Privacy. Qualified candidates will be recruited according to their academic accomplishments. For applications
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individuals with a PhD degree from a recognized university and with substantial expertise in Machine Learning. Qualified candidates will be recruited according to their academic accomplishments
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of Computer Vision. A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to individuals with a PhD