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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) Proved experience in working independently and as part of a
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sufficient specialist knowledge in transcriptomics and NGS sequencing as well as the essential computational skills (R, Unix or Python) to develop research programmes in this area, and familiarity with
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contribute to the study and sequencing design, collaborate with experimental biologists to validate the hypotheses, and advise and supervise computational staff and students. You will write research articles
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the collection of high-quality, synchronous, multi-camera video data across multiple exclusive real-world environments (capture volumes). Each capture volume requires a minimum of 24 cameras, and you will collect
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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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low expansion glass, with many optical components precision aligned and hydroxy-catalysis bonded to the optical bench base. As part of the optical bench build, a variety of sub-systems such as beam
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, including next generation sequencing is essential. The successful candidate will be highly motivated and enthusiastic with an outstanding academic track record, good communication skills and the ability
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or MSc in biological sciences or a related field and bring experience in DNA/RNA extraction, PCR-based techniques, and next-generation sequencing. A strong understanding of regulatory requirements
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computational support to group members in analysing single-cell RNA sequencing data sets for probing T-cell receptor - peptide interactions. We are an interdisciplinary group focused on applying mathematical