138 phd-in-computational-mechanics-"FEMTO-ST"-"FEMTO-ST" positions at University of London
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area, with a degree or equivalent experience and a PhD in a scientific discipline being desirable. You will have significant experience in business development and engagement within a research-intensive
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in tandem with clinical partners. About You You will possess a PhD or be nearing completion in mechanical, electrical, or biomedical engineering, or a related discipline. You will have hands
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, berries, and other fruits. About You Applicants must have a strong research track record in Robotics, Mechanical or Mechatronics Engineering, preferably with relevant experience in robotic manipulation and
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students, including supporting undergraduate and postgraduate research projects. This position will suit those keen to collaborate closely with our cardiothoracic surgery programme, which regularly performs
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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Principal Investigator with the day-to-day running of the project. About You The successful candidate will have a degree and PhD (or close to completion) or research qualification/experience equivalent to PhD
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degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
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About the Role Candidates are invited to apply for a full-time, 9-month research technician position funded by Barts Charity to investigate novel mechanisms of blood pressure regulation using murine
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or