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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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-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human
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solutions to the inclusion and net zero challenges facing twenty first century urban mobility. The ideal candidate will have: Demonstration of at least one of the following PhD in a relevant field (e.g
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bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
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About the Role We are seeking to recruit an outstanding lab-based molecular biologist with or about to receive a PhD, who has experience in development and application of next-generation sequencing
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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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civil society. Upholding best practice in research conduct, ethics, and data management. Person Specification You will hold (or be very close to completing) a PhD in a relevant field such as sound studies
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the last HEFCE Research Assessment Exercise. The Faculty’s students enjoy unrivalled learning opportunities, supported by strong partnerships with industry and healthcare organisations. At both undergraduate
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Veronika Fikfak. The Postdoctoral Research Associate will be responsible for data collection from different human rights case law databases, coding (including machine learning) and data analysis. They will
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you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree (completed or in the final stages) in sociology, social policy