138 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"ST" positions at Ulster University
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in this programme will generate evidence-based outcomes for technology adoption, collaborative frameworks between industry and academia, and practical roadmaps for transitioning towards sustainable and
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for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading
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clinical decision-making, program evaluation, and information-sharing with team members. This current PhD proposal is an example of implementation science because it aims to build upon an almost 20-year
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engineering/electronics engineering, or a related field will be advantageous, along with knowledge of the following: *low-power circuits/system design for ASIC, *Verilog based FPGA based system design
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residency criteria which requires that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who
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with a background in computing or data science who wish to connect technical innovation with human-centred system design. The project supports Northern Ireland’s priorities in Software/Cyber and Life
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Summary This project is part of the NILab Programme . Milk production is a key indicator of profitability and animal health in dairy farming. It reflects the cow’s physiological status and responds
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that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have
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, biodiversity monitoring, and climate resilience. The work supports strategic priorities in Environmental Sciences, Software/Cyber. PhD researchers will explore how AI-driven Earth observation, computer vision
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* Molecular dynamics simulations * High-field NMR spectroscopy Ideal for students excited by computational biophysics and structural biology, with strong career prospects in academia, biotech, and AI-driven