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writing skills Evidence of publication track record Extensive experience and expertise in version control (e.g., Git) and reproducible research practices * Please note that this is a PhD level role but
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primary data collection methods, a track record of working with difficult societal topics or marginalized populations, and a keen interest in social and environmental justice. The role will suit a self
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Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research Associate: A PhD (or
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the molecular mechanisms underlying disease progression and treatment resistance and identify novel therapeutic targets. You will take a lead on development of computational approaches to integrate multi-omics
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with R or Python tools. Experience in processing of targeted and untargeted mass spectrometry datasets Demonstrated research competence and initiative through inernational publications in peer-reviewed
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new antibiotics and explore new potential antimicrobial agents. We have a world-class track record of success and a reputation for a can-do attitude to tackling challenging goals. At the heart of our
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investigating bacterial gene regulation. They will be self-motivated in designing and executing experiments, with a proven track record in molecular techniques such as genomics, proteomics, transcriptomics, as
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learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to manipulation and locomotion; path and motion planning, whole-body control, multi
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-temperature electrical and magnetic measurements. With a strong track record of peer-reviewed publications, this individual will be able to demonstrate professional expertise and advanced problem-solving skills
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strong proven track-record of publication in relevant fields is essential. To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. Please