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Field
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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to fundamentally and radically advance our understanding of Natural and Artificial Intelligence. We seek candidates with demonstrated ability and creativity who study one or more of the following areas: Foundations
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and contribute to the preparation of manuscripts stemming from your work. If you have a PhD in organic chemistry, ideally with a background in protein chemistry or chemical biology you might be
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researcher with a PhD in forest ecology or a related field, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in a multidisciplinary environment. You may
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qualify for work in senior academic positions. The start-up date is as soon as possible, preferably no later than December 2025, meaning that the applicant should have already been awarded their PhD degree
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tenable for up to 4-years. Applications are welcome from graduates of any university. Candidates will usually have completed their PhD, but must not have undertaken more than 3-years of postdoctoral work by
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. • The ability to work successfully in a team and demonstrate leadership qualities including student supervision. • Interest engaging with PhD and Early Career Researcher initiatives and opportunities
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substrates, and microelectronics. Familiarity with sensor integration and characterization methods, including for health monitoring/ wearable robotics applications. Ability to work independently and as part of
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substrates, and microelectronics. Familiarity with sensor integration and characterization methods, including for health monitoring/ wearable robotics applications. Ability to work independently and as part of
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience