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working with Cryo EM Experience supervising / co supervising Masters / PhD students Experience of multi-disciplinary collaboration and teamwork Evidence of ability to work independently Preferred
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emphasis will be placed on personal characteristics such as creativity, thoroughness, a structured approach to problem-solving, and the ability to work both independently and in a team. Additional
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, thoroughness, a structured approach to problem-solving, and the ability to work both independently and as part of an interdisciplinary team. Additional qualifications Experience in simulation-based or likelihood
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engineering practice, collaborative development experience (e.g. Git/GitHub), and ability to use AI-assisted coding tools effectively. Strong communication and collaboration skills, with the ability to work
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developing, adapting or optimising experimental protocols Experience with high-throughput sequencing approaches (e.g. RNA-seq, ATAC-seq or related methods) Ability to critically assess data quality and
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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frameworks. Ability to conduct independent research and collaborate in an interdisciplinary environment. Proficiency in written and spoken English. Other desirable qualifications: Experience working with
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contributing to collaborative team efforts. You should demonstrate strong problem-solving skills, a curiosity-driven mindset, and the ability to adapt research directions as needed. You should also have the