79 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CSIC" positions at Aston University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, improving contract review and quoting, embedding data-driven feedback loops for pricing, lead times and quality control, and supporting the company’s readiness for AS9100. What you will gain: You will lead a
-
violence, harassment and sexual misconduct, and can translate this into safe pathways, partnership working, training, governance and assurance. You understand how to use service data, utilisation
-
Postgraduate degree (MSc) in computer science, AI, or similar. Demonstrable competence in machine learning, medical image or signal analysis, data engineering, and healthcare data governance. Adept at
-
. Demonstrable competence in machine learning, medical image or signal analysis, data engineering, and healthcare data governance. Adept at developing/validating AI algorithms, and adhering to
-
or industrial settings. Experience in customer research, data analysis, or development of commercially informed strategies. Key responsibilities of this role include: Service design and product
-
support: https://www.aston.ac.uk/staff-public/hr/Benefits-and-Rewards/health-wellbeing Career prospects: 60% of our KTP associates are offered employment by their host companies at the end of the
-
support: https://www.aston.ac.uk/staff-public/hr/Benefits-and-Rewards/health-wellbeing Career prospects: KTP Associates lead strategic projects, bridging the academic and business worlds, which can
-
Admissions, Marketing and International Recruitment to maximise offer-to-enrolment conversion. This is an exciting opportunity for someone who enjoys working in a dynamic environment, using data and
-
proficiency, including spreadsheets, online databases and data dashboards. Experience of managing, analysing and interpreting data using MS Excel. Strong organisation and planning skills, with the
-
project will evaluate AI-based behavioural alerting systems using public benchmark video data. It will focus particularly on false alerts, threshold sensitivity, recurring failure modes and the practical