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- bermet.ishenbekova@ucentralasia.org
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proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and proteomics) would be
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models) Proved experience in working independently and as
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, and work both independently and collaboratively. Excellent communication and presentation skills, including at conferences. Desirable Experience with single-cell or bulk sequencing (e.g. 10X Genomics
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at conferences. Desirable Experience with single-cell or bulk sequencing (e.g. 10X Genomics, RNA-seq). Familiarity with bioinformatics pipelines and large dataset interpretation. Experience in engineering human T
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, Italy and the UK. We will use artificial intelligence, bioinformatics, next generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics
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approach to engaging with stakeholders will allow you to coordinate the delivery of Edinburgh Napier University’s work packages within the MOSAIC project across all stages, ensuring alignment with
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wellbeing resources Further Information Closing date: 7 November 2025 This is a full-time, fixed-term post for up to three years (part-time considered). Proposed projects should align with Prof O’Regan’s
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-structured films and their optical response. It is essential you have a PhD or equivalent professional qualifications, and experience in aligning and setting up bespoke optical set ups. Experience in working
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visualising the very large 3D datasets that BM18 (large 3D volumes), ID15A (multimodal) and ID19 (time lapse sequences) will provide. The post holder will develop their own core research themes, and
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. Knowledge of and experience in high quality research including organic synthesis, catalysis and techniques and methodologies aligned to reaction monitoring. Skilled in Magnetic Resonance and data collection