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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
for the Everyday). We have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led
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Science full-time programme (Semester 1 / September start):
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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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change accelerate, we urgently need smart, evidence-based tools to plan, manage, and protect our marine ecosystems. At the forefront of this innovation is machine learning. Its ability to process complex
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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
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and/or prior experience with space propulsion systems will be seen as an advantage but is not essential. This PhD studentship is part of the Rocketry Research, Teaching, and Training (R2T2) program and
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bulky actuators (often a stepper motor) and discrete components leads to a large capsule size and high manufacturing cost. Activation often requires external commands or pre-programming, and accurate
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anticipated that the selection process will take place in December 2025 or January 2026. This will consist ofan interview and a short presentation. We plan to let candidates know if they have progressed
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completion of a 1st Class Master's in Chemistry, Chemical Engineering, or a related field. A background in flow chemistry (and/or high-throughput experimentation), as well as proficiency in programming
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven