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. Through close partnership with our industrial collaborator, the knowledge created by your research will find immediate application in state-of-the-art advanced optical cables for data transmission. Key
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Level 4 Spine Point 28 - 30. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience. Please contact Prof Andrea Da Ronch (a.da-ronch@soton.ac.uk
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analytical and numerical analysis, including the use of numerical modelling packages such as Comsol and ANSYS. In addition, you will demonstrate a detailed understanding and knowledge of noise and vibration
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of data coming from Distributed Acoustic Sensing (DAS) in urban settings. This requires a strong knowledge on data analysis, relevant machine learning techniques, signal processing and big data, and will
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effectively as part of a team Desirable Experience and Knowledge: Experience of carrying out qualitative research with carers, people at end-of-life, or palliative care professionals In-depth understanding
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-related knowledge, skills, and experience. Please contact Prof Andrea Da Ronch (a.da-ronch@soton.ac.uk ) for further details about the position. *Applications will be considered from candidates who
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initiative Excellent written and oral communication skills Ability to work both independently and effectively as part of a team Desirable Experience and Knowledge: Experience of carrying out qualitative
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, you will demonstrate a detailed understanding and knowledge of noise and vibration control system design. Due to the collaborative nature of this programme, you will benefit from working closely with
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experience in airway biology and advanced primary cellular models, integrating molecular, imaging and cell biology methods. Knowledge of CRISPR/Cas9 methods is welcomed. You must be a good team worker
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cell biology methods. Knowledge of CRISPR/Cas9 methods is welcomed. You must be a good team worker, collaborator and an excellent communicator. Additional training will be provided to develop the skills