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- bermet.ishenbekova@ucentralasia.org
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methodologies include cell culture, analysis of DNA damage and repair by microscopy and RNA-sequencing for splicing analysis. Main Duties The responsibilities may include some but not all of the responsibilities
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, will study the drivers of relapse in acute myeloid leukaemia (AML) with the goal of improving treatment options in this poor outcome cancer. You will perform and analyse next-generation sequencing
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of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks that regulate
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leading overseas university in a research area that is aligned with SIT’s supported areas A keen interest in an academic career Value of Fellowship The Fellowship provides Monthly stipend Overseas
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leading overseas university in a research area that is aligned with SIT’s supported areas A keen interest in an academic career Value of Fellowship The Fellowship provides Monthly stipend Overseas
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leading overseas university in a research area that is aligned with SIT’s supported areas A keen interest in an academic career Value of Fellowship The Fellowship provides Monthly stipend Overseas
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to the development of biomarkers and predictive models. A critical part of your role will be to ensure all data and workflows are reproducible and shareable, aligning with our 'data lake to discovery' approach under
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meet baseline security screening and align with the School of Medicine’s values. Desirable attributes include experience with emerging technologies (e.g. spectroscopy or biophotonics) for medical
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application of specialist techniques. Candidates must also meet baseline security screening and align with the School of Medicine’s values. Desirable attributes include experience with emerging technologies
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imaging High level analytical capability Broad understanding of next generation sequencing (NGS) technologies and demonstration of proven experience in analysis of bulk and single cell transcriptomic data