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on the lab can be found at https://www.sysneurodevlab.org/ Eligibility & How to apply: Please submit a formal application using the online admissions portal (via the ‘Apply’ button above) attaching a CV
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2026. Visit our website for further information on eligibility and how to apply: https://biodtp.norwichresearchpark.ac.uk/ . Our partners value diverse and inclusive work environments that are positive
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shortlisted for funding by the NRPDTP. Shortlisted applicants will be interviewed on 30 April 2026. Visit our website for further information on eligibility and how to apply: https
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of this studentship will cover the student's stipend at the current Research council rate and Home University Fees. The studentship will be funded for 4 years from October 2026. Further information about the course can
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2026 Details Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is not limited
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an attractive annual tax-free stipend; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. For full information about the programme, the research projects
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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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next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety