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Field
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving
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: Electrical and Computer Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 13/02/2026 ▲ Collapse Job Title: Research Fellow (Topolectrical Circuits and Non-Hermitian Physics
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Experience with high-performance or cluster computing. Experience producing reusable software packages or analytical pipelines. Familiarity with visualization and interactive tools (RShiny, Plotly, Power BI
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific Advisor
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Singapore and around the world to conduct independent investigations at NTU and a Wallenberg AI, Autonomous Systems and Software Program (WASP) research partner institution in Sweden. The Wallenberg-NTU
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 29 days ago
connected to phylogenetic software, methods and models, molecular evolution, hybridisation and introgression, and the evolutionary histories of eucalypts, viruses, bacteria, and Archaea. The ANU Phylogenomics
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.” About the Opportunity The Khoury College of Computer Sciences seeks a Distinguished Research Fellow to establish and lead an independent research program. The Distinguished Research Fellow will be
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of bench molecular biology and animal science. Knowledge, Skills and Abilities: Demonstrated ability: excellence computer software, equipment operation, or research technical skills. Excellent interpersonal
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. The Research Fellow is expected to be physically present at NTU during working hours. Office space, computing resources, and access to NTU facilities and licensed software will be provided. Requirements PhD in
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analyses. Design, maintain, and optimize computational pipelines and software tools for integration of multi‑omics and clinical datasets to uncover mechanisms of tumor evolution and therapeutic resistance