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to work with proteins, especially membrane proteins. Experience with cell-based experimental systems, including mammalian cultured cells. Deep knowledge of protein biogenesis, quality control, and stress
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produce (with support from imaging data engineers). • Develop and perform simple behavioural paradigms for mice, e.g. spatial orientation learning tasks and reward/fear conditioning. • Acquire new
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and outside the group. • Travel internationally to learn and teach at workshops or with collaborators, and to present data at scientific conferences. • Contribute to the LMB’s mission in
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Experience with statistical analysis, machine learning methods, and high-performance computing Desirable: Experience with spatial transcriptomics, 3D genome analysis, or epitranscriptomics Familiarity with
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willingness to learn and be flexible High level of project management and organisational skills Highly developed communication and interpersonal skills High attention to detail on both major and minor items
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scientific discovery and learning Independent research capability, including the ability to manage and drive projects autonomously Collaborative mindset, with the ability to work effectively in a team-oriented
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to conduct research independently, including the design, execution, and analysis of experiments Eagerness to learn and acquire new skills, troubleshoot experiments, and apply creative approaches to scientific
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or international conferences Personal skills / Behaviours / Qualities (will be assessed at the interview) : Essential: Enthusiastic and motivated, with a genuine interest in scientific discovery and learning
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Band promotions In conjunction with the Deputy Head of People and Culture, organise, advertise and coordinate Learning and Development training days and training workshops and Wellbeing events within LMS
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Experience with statistical analysis, machine learning methods, and high-performance computing Desirable: Experience with spatial transcriptomics, 3D genome analysis, or epitranscriptomics Familiarity with