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Field
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
fading, and maintain stable performance over 40–100 km fibre lengths. Perform co-simulation of optical and electronic/system-level subsystems (e.g., using Python, MATLAB, VPI). Build and characterise
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computing (e.g. Python, C/C++, Fortran, MATLAB). Ability to analyse and interpret complex datasets, with good scientific judgement and attention to detail. A motivated, collaborative researcher with strong
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programming skills in Python, C++ and/or Matlab are required. Good understanding of optics simulation, lithography and cleanroom processes (coating, etching, interference lithography) beneficial. We offer a
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analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity
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with statistics or programming in R/python/MATLAB desirable. Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is fully funded for 3 years. Funding includes
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, numerical methods, or Geant4 / Monte Carlo simulations. Proven experience in scientific software development using C/C++, Python, MATLAB, CUDA, and/or other relevant programming tools. Demonstrated ability
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or MATLAB (e.g. NumPy, Pandas, SciPy). Experience with biomedical signals or signal quality assessment is an advantage. You bring initial experience in machine learning (e.g. scikit-learn, XGBoost, PyTorch
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, geoinformatics, geoecology or related fields Programming skills (Julia, Python, MATLAB) and ability to work with time series and/or geospatial data Motivation to work at the interface of ML and environmental
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programming skills in Python. You have programming experience in C/C++ or MATLAB (preferred). You have experience with softwarized network stacks or RAN architectures, such as OAI, srsRAN, and FlexRIC
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data processing, single-cell data processing, and Matlab, R, or Python, and scientific illustrations will be an advantage. Finally, the ideal applicant also has high proficiency in spoken and written