Sort by
Refine Your Search
-
suitable for deployment within the core and hardware that can realise this system, working closely with a team of PostDocs and PhD students, as well as project partner, Arm. Our group consists of PostDocs
-
. Applicants must have (or be close to obtaining) a PhD in Engineering or relevant discipline. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received
-
peer reviewed academic publications of the highest standards of significance and impact Supervise less experienced researchers and PhD students Develop skills and networks to become a successful
-
and subsequent cluster-randomised trial of proactive risk assessment within primary care. Applicants should have, or be close to completing, a PhD or equivalent qualification. Given the nature
-
Cambridge and international institutions. The preferred candidate will have a PhD (or equivalent) in Statistics, Computer Science, or other related quantitative subject. Selection criteria includes
-
PhD (or close to obtaining) in a relevant subject, or equivalent experience; Understanding of embodied carbon and design; Evidence of interdisciplinary working that covers structural engineering
-
-doctoral researcher and a PhD student with whom they will carry out longitudinal studies using innovative behavioural procedures combined with pharmacology, molecular biology and circuit neuroscience
-
. Successful candidates at the Research Associates must hold a PhD in a relevant subject, at the Research Assistant level must hold a Masters in a relevant subject area or equivalent. Excellent knowledge
-
researchers, willing to work on this challenging project at the boundary of biology and quantum physics are welcome to apply. Education & qualifications: Applicants should have, or be close to obtaining, a PhD
-
projects with other universities as well as industry. Candidates most hold (or be near to completion) a PhD in Computer Science or a STEM related subject and have an ability to present their research. Strong