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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
technological progress. Subject areas: Business, Computer Science, Economics, Environmental Sciences, Finance Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding
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should hold, or expect to complete by September 2026, a Master’s degree in Economics, Finance, Statistics or Computer Science, and have at least a 2.1 or equivalent in a relevant undergraduate degree. The
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options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and
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) to develop computational models of the neonatal brain. The successful candidate will work on the intersection of neuroscience and new computational methods, combining mathematical and biophysical models with
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United Kingdom Application Deadline 31 Mar 2026 - 23:59 (Europe/Brussels) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the
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outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational capabilities (e.g. evidencing a 2:1 or higher in relevant
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-expert audiences. Subject areas : Accounting, Business, Computer Science, E Business, Economics, Environmental Sciences, Finance, Hospitality, Human Resource Management, Information Services, Management
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5pm GMT on 10-04-26. To make an online application go to http://www.bris.ac.uk/pg-howtoapply . Please select ‘Philosophy PhD’ on the programme choice page and ‘September 2026’ as your start date. Enter
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable What-If Analysis of Intelligent Networks Funded PhD Project (UK or International Students) Funding provider