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see advert: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/business/economics/socialvalueofelectricalnetworkinvestment/ Study modes eligibility: Full-time Fee Status: Project
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
and financial constraints influence firms’ choices between green and non-green innovation, using theoretical models and firm-level data to assess whether environmental policies stimulate or hinder
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Modelling, Applied Statistics, Linguistics, Data Analysis, Large Language Models, Machine Learning. Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding towards
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- Generative AI and natural language processing - Computer vision - Knowledge representation and reasoning, and knowledge graphs - Automated planning - Robotics and autonomous systems A familiarity with the
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information on Skilled Worker visa eligibility: https://www.gov.uk/skilled-worker-visa Anonymous shortlisting will be carried out for this role as part of Aston University’s commitment to equality and
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dedicated to studying all aspects of economics. Information about the Department of Economics can be found on the website at http://econ.univie.ac.at . Your future tasks: Active participation in research
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Apply and key information Summary Making Every Contact Count (MECC) is a crucial public health initiative that encourages healthcare professionals to use routine interactions to promote healthy
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and obtain the right to work in the UK. Information on other visa options is available at https://www.gov.uk/check-uk-visa . To apply online for this position visit www.abdn.ac.uk/jobs Job Reference
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part-time positions are available for those committed to application-oriented education. Job Responsibilities Teach and assess at least 3 courses in the following core subjects: Algorithms & Data
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accepted all year round Details The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate