15 programming-"the"-"DAAD"-"UCL"-"FEMTO-ST"-"IMPRS-ML"-"U"-"https:" "University of East Anglia" PhD positions
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programming skills in Python/MATLAB, and an interest in digital twin technologies, cybersecurity and machine learning. Entry Requirements Acceptable first degree: Computer Science or related disciplines
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cell and spectroscopic analysers. Programming (e.g., R, Python) and machine learning for advanced atmospheric time-series analyses. Skills for presenting research at conferences and writing peer-reviewed
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programs. The student will join a well-supported team of chemists and biochemists (Master’s and PhD students, and postdocs) who are well-placed to provide a supportive and ambitious peer group. The student
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and nitrogen cycles, and deliver a consistent greenhouse-gas flux response to global change. RESEARCH METHODOLOGY In this project you will work with a team of scientists from the University of East
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-relevant insights supporting the design of effective Marine Protected Areas (MPAs) and informed Marine Spatial Planning. Training Based at the University of East Anglia, you will gain expertise in marine
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through The Lupus Trust. Training programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods
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are looking for an enthusiastic individual with a degree in a quantitative discipline. Experience of geospatial analysis (with GIS) is essential and programming with code (e.g. R, Python) would be advantageous
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@uea.ac.uk The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity
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interdisciplinary research skills in statistical analysis, data visualisation, advanced programming, writing and oral presentation, and receive training to enhance transferable skills and employability. Person
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques