11 deep-learning positions at University of Cambridge

Research Assistant - Deep learning for genomics (Fixed Term)

deep learning approaches. This is an exciting opportunity to use AI-based methods to uncover the molecular mechanisms behind gene regulation and mRNA stability. You will be part of a computational team

Research Associate (Fixed Term)

postholder will explore different approaches to blending existing ordinary differential equation-based mechanistic infectious disease models with modern deep learning approaches to develop predictive models

Research Assistant/Associate in Machine Learning for Water Resources (Fixed Term)

environmental risks Experience in data engineering- curating and maintaining labelled training datasets for deep learning. Appointment at Research Associate level is dependent on having a PhD. Those who have

Research Assistant/Associate in Machine Learning (Fixed Term)

, Oxford, Imperial, Edinburgh, Cardiff, Manchester and Surrey) and with its industrial partners. Key responsibilities include working on deep learning, probabilistic modelling, deep generative modelling, and

Investment Manager (Physical Sciences/Deep Tech)

Enterprise is looking for an Investment Manager focussed on opportunities in Deep Tech to work within our Ventures team. Why Cambridge Enterprise? We are at the heart of Europe's most successful research and

Programme and Start Associate

entrepreneurial alumni, local experts and peer role-models, alongside funding and deep tech spin-out expertise, to support many more founders to create stronger companies which scale faster and have greater impact

Senior Tutor

the delivery of our core academic purpose. We seek a dynamic leader with strategic vision, a strong track record in teaching, learning and research, and deep understanding of the challenges facing scholars

PhD Offer in the framework of the MSCA Doctoral Network “GLITTER”: Advanced Bayesian analysis and optimisation

to acquire a deep understanding of their subject. Second, the network-wide training will be offered by the consortium during the whole project life cycle through 4 training schools and 3 workshops

PhD Studentship- Uncovering the chemical origin of lipid membrane diversity (3.5 years Fixed Term)

membranes to probe, sense or replicate cellular behaviours; and a deep-rooted understanding of the emergence and evolution of cellular processes at the molecular level. Background: While prebiotic pathways

PhD Offer in the framework of the MSCA Doctoral Network “GLITTER”: Antenna technology

to acquire a deep understanding of their subject. Second, the network-wide training will be offered by the consortium during the whole project life cycle through 4 training schools and 3 workshops