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Field
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high-dimensional flow cytometry (using CyTek Aurora) and single-cell transcriptional profiling (using 10x Genomics) Excellent communication skills and a passion for learning new assays and analysis
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or pending results) Experience in preclinical models
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and electronically and prepare proposals and applications to external bodies. You will: possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in a related
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operation · Application of artificial intelligence or machine learning in energy or engineering systems 5. Strong programming and modelling skills using relevant tools such as Python, MATLAB
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capabilities o Demonstrated experience with machine learning and/or statistical modeling o Expertise in handling large-scale, complex datasets with strong data wrangling skills o Strong publication record
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experience in Oxford Nanopore Technologies (ONT) sequencing and bioinformatics A track record of research in microbiome science, metagenomics, whole genome sequencing, big data analysis, machine learning, and
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following skills and experience: Essential criteria PhD qualified in relevant subject area * Knowledge of Raman spectroscopy Hands on experience with fibre optics Commercial/spinout exposure Knowledge
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events, and PhD supervision within university research centres, including Quantitative Research in Financial Economics which maintains strong links with industry, policy and national and international
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matching post based at Teesside University); (3) nature and natural heritage (the focus of a matching post based at Newcastle University); (4) active evaluation for learning (e.g. research conducted by team
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the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD