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-impact journal publications and present at international conferences. Contribute to grant proposal writing and new project development. Mentor and supervise PhD, Master’s, and undergraduate students in
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flow-based generative models Embodied AI Exploration and development of new research avenues Occasional administrative duties for the project Job Requirements: PhD degree in Electrical and Electronic
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Collaborate with interdisciplinary teams and contribute to joint research projects. Perform the quantum and nonlinear experiments. Help the PI to manage the lab and group Job Requirements: PhD in Optical/Device
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Organize seminars and contribute to the scientific animation of ERIAN Job Requirements: PhD (for Research Fellow and above equivalent) degree in power systems or related field At least 1 years of relevant
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characterization using techniques such as XRD, SEM-EDS, and related in-house or collaborative methods. Job Requirements: PhD (with strong research experience) in Chemistry, Materials Science, or related disciplines
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management tasks, and mentoring junior team members. Requirements: PhD in life science, biochemistry, molecular cell biology, or other related disciplines. Minimum of 4 years of postdoctoral research
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-quality journal publications. Assist in supervising research students in the group. Job Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python
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molecular structures to photophysical behaviors. Job Requirements PhD in Chemistry, Physics, Materials Science, or a closely related discipline. Proven research track record demonstrated by high-quality
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high impact academic journals of good reputation. Qualifications A PhD with 3 years relevant post-doctoral experience. Understanding of the molecular/cellular basis of MAFLD, obesity and T2D, e.g., lipid
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the design principles of effective arts-based programmes into practice. We are seeking applicants with a PhD and demonstrated expertise in data collection (in laboratory and/or school settings), advanced data