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Field
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, the role holder will be responsible for the supervision of PhD and MSc students working on the relevant topics with the project. It is an excellent opportunity for a researcher to further their skill set in
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will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are
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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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technology—and strengthen collaborative links across institutions. The role is integral to advancing research excellence at King’s in the field of addiction science and supporting further development
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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
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Associate: A PhD (or equivalent) in an area pertinent to the subject area, i.e. Computer Science, Machine Learning, Robotics. Research Assistant: A Master’s degree (or equivalent) in an area pertinent
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robots are therefore required. One of the goals of this project is to commercialise. You must have a strong computer science background and have experience in one or more of the following areas: Computer
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g
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PhD (or be near completion) in a field such as AI, computer science, signal processing, biomedical engineering, have a strong record of publication in engineering or computer science literature, and
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completion of a PhD in Psychology or a relevant area along with experience of collecting data from research participants. With excellent data analytic skills, you will be familiar with SPSS and at least one