Data-intensive PhDs at LIV.INNO prepare students for careers outside of academia
LIV.INNO, Liverpool Centre for Doctoral Training for Innovation in Data-Intensive Science, offers students fully-funded PhD studentships across a broad range of research projects from medical physics to quantum computing. All students receive training in high-performance computing, data analysis, and machine learning and artificial intelligence. Students also receive career advice and training in project management, entrepreneurship and communication skills – preparing them for careers outside of academia.
This podcast features the accelerator physicist Carsten Welsch, who is head of the Accelerator Science Cluster at the University of Liverpool and director of LIV.INNO, and the computational astrophysicist Andreea Font who is a deputy director of LIV.INNO.
They chat with Physics World’s Katherine Skipper about how LIV.INNO provides its students with a wide range of skills and experiences – including a six-month industrial placement.
This podcast is sponsored by LIV.INNO, the Liverpool Centre for Doctoral Training for Innovation in Data-Intensive Science.
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LIV.INNO, Liverpool Centre for Doctoral Training for Innovation in Data-Intensive Science, offers students fully-funded PhD studentships across a broad range of research projects from medical physics to quantum computing. All students receive training in high-performance computing, data analysis, and machine learning and artificial intelligence. Students also receive career advice and training in project management, entrepreneurship and communication skills – preparing them for careers outside of academia.
This podcast features the accelerator physicist Carsten Welsch, who is head of the Accelerator Science Cluster at the University of Liverpool and director of LIV.INNO, and the computational astrophysicist Andreea Font who is a deputy director of LIV.INNO.
They chat with Physics World’s Katherine Skipper about how LIV.INNO provides its students with a wide range of skills and experiences – including a six-month industrial placement.
This podcast is sponsored by LIV.INNO, the Liverpool Centre for Doctoral Training for Innovation in Data-Intensive Science.
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