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, potential or demonstrated, of international standing strong mathematical and computational skills, and experience with machine learning tools and software libraries, as well as dynamical system simulation and
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in retirement Build and assess software, databases, and modelling tools Analyse data and communicate findings clearly Contribute to research papers, abstracts, and grant applications Collaborate with
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CEPAR’s Asia program. Conduct research independently or as part of a team. Build and use models, software, and databases; analyse data and share findings. Help prepare funding applications with guidance
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for 2 years. You will lead a research team working on the application of software (AI/machine learning techniques), to improve the efficiency of advanced hardware and integrated circuit design. This role
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developing and/or using quantum chemical and/or density functional theory methods using a variety of software packages. Demonstrated ability to undertake high-quality research and write high-impact manuscripts
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immunocytochemistry, fluorescence microscopy (including confocal microscopy and high content systems), immunoblotting, qPCR, FACS, flow cytometry, proteomics, and transcriptomics. experience in using software
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immunocytochemistry, fluorescence microscopy (including confocal microscopy and high content systems), immunoblotting, qPCR, FACS, flow cytometry, proteomics, and transcriptomics. experience in using software
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software and other applications or systems/databases. Additional Pre-employment checks required for this position: • Dependent on research topic/project scope. If you require any further information
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the development of tools that address the complexity of single-cell and spatial data. The successful candidate will contribute to building robust, scalable software solutions that enhance reproducibility, usability
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cytometry, proteomics, and transcriptomics. experience in using software for the design of plasmid DNA constructs (e.g., lentiviral or AAV backbones) for a variety of applications including over-expression of