432 assistant-professor-computer-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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per year" A lower grade offer may be made (Grade 6) with comparable reduction in responsibilities and amendment in job title to Research Assistant, if a suitable applicant cannot be found to fill the
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that helps drive translation of energy efficient data storage and neuromorphic computing innovations to commercial success across a range of sectors. The Post You will explore the dynamic processes that occur
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning
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also help to organise a stakeholder workshop focusing on regulation and policy for synthetic phage therapy targeting health stakeholders including doctors, patients, pharmacists, medical regulators and
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selection process. Further information If you have any questions or require any assistance concerning the application process, please contact us via the HR Contact Form | SOAS For information on how and why
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research outputs. With more than £35 million invested in recent years, SEMS benefits from extensive state-of-the-art experimental and computational facilities, supporting research and teaching across a broad
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partnership with Agrecalc (Farm carbon calculator | Home | Agrecalc ), Farm Carbon Toolkit (Home - Farm Carbon Toolkit ), and the Coolfarm tool (Carbon Footprint Calculator | Measure Water & Biodiversity
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Health Translational Research Collaboration and which sits within a ground-breaking new Centre: Civic Health Innovation Labs (CHIL). M-RIC is an ambitious programme of work jointly delivered between
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phases the project • Collaborating in the publication of research articles • Engaging with policy and civil society initiatives to maximise research impact • Assisting the group in
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emerge, spread, and unequally affect different individuals and population groups. Outcomes of this research will help advance the development of more equitable, spatial data-driven approaches to public