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, neuroscience or computer science Proficiency in Python, R, Matlab, or another relevant programming language Expertise in integrated analysis of behavioural and imaging data. Experience working with children in
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). The successful applicant will hold a PhD qualification and have experience in microbiology, genetic engineering and bioprocessing. Applications are also welcome from candidates currently pursuing or nearing
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to understand the properties of stratospheric aerosols, and who will need the data you provide to optimise their work. What we are looking for: Research Associate: PhD in aerospace engineering, atmospheric
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School of Biomedical Engineering & Imaging Sciences, King’s College London, with a team of investigators covering AI, computer vision, robotics, and medical imaging. You will join a dynamic and successful
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silico work, including sequence design, data analysis, experimental planning, and writing publications. The postdoc will work closely with the PI and a PhD student. An ideal candidate must hold, or be
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collaborative research environment. Education, Qualifications and Experience We are looking for outstanding candidates with a PhD in physics, electrical engineering, applied mathematics, computer science, or a
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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the lab and approach our work with the same mindset. All of our data and code is open, and we will expect the postholder to adopt open science principles during the course of their stay with the SoCR lab
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PhD in a relevant scientific discipline, for example, Cell Biology-related subject, Tissue Engineering or Biomaterials. Excellent manual dexterity and experience in cell culture and models, and tissue
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supervision of Dr. Abeer Eshra and co-supervised by Prof. Damien Woods. It will be based at the Hamilton Institute with a possible co-appointment in the Department of Computer Science. The project combines