Sort by
Refine Your Search
-
specific skills and expertise in statistical modelling and/or machine learning. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including
-
; synthetic biology; analytics and computer science. The successful applicant should have a strong background in biocatalysis and directed evolution and a good understanding of the industrial biotechnology
-
systems engineering, mathematical modelling, optimisation, machine learning, and artificial intelligence. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and
-
, Midwifery and Social Work, School of Health Sciences, based at The University of Manchester. You will need excellent skills in mixed methods and/or qualitative research methods developed in health or social
-
2025. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave
-
have quantitative skills training at the heart of our teaching, integrating with the Q-step programme. We work closely with social statistics, computer science, Institute for Data Science & Artificial
-
, or be working towards, a PhD or equivalent in environmental modelling, geographical information science, (computational) environmental science, (computational) physical geography, (computational
-
on skillset and expertise. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting
-
development facilities including a wide range of robotic systems and robot test arenas. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services
-
employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and