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projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
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publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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quantum phenomena in strongly correlated systems; Analytic or numerical methods of quantum many-body systems and non-equilibrium systems; Quantum field theory; Modeling and calculation of solid-state
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frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent command of written and spoken English and demonstrate the ability
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-qualification experience at the time of application; (b) strong background in SLA theories and methodologies; (c) proficiency in quantitative and qualitative research methods; (d) demonstrated ability
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Department of Computing Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Assistant (Ref. 251111009) (1) Postdoctoral Fellow (several posts) [Appointment period
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Department of Health Technology and Informatics Part-time Postdoctoral Fellow (Ref. 251114002) [Appointment period: thirteen months] Duties The appointee will assist the project leader in
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Department of Computing Postdoctoral Fellow (Full-time/Part-time) (several posts) (Ref. 251112005) [Appointment period: each for one to twelve month(s)] Duties The appointees will assist the project
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Department of Computing Postdoctoral Fellow / Research Associate / Research Assistant / Research Administrative Assistant (several posts) (Ref. 251112007) [Appointment period: each for one