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Field
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. Flexibility and an interest in interdisciplinary research are considered strong assets. Other assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling
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important - Prior experience with density functional theory or machine learning is desirable - Proficiency in the Python programming language is important, as well as Fortran - Strong written and oral
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, particularly MRI, medical physics or computational data analysis (Python/R/MATLAB, machine learning, or bioinformatics) is highly desirable. Interested candidates should send a CV to michael.chappell
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Previous experience in protein biochemistry, LC/MS based mass spectrometry Previous experience in handling omics data analysis using software Experience in R and python is a plus but not mandatory Good
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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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, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation
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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
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relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international collaborators Degree : Master of Physics, data
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, including familiarity with fundamental concepts such as public-key cryptography and security protocols. Experience with programming (e.g., Python, C/C++, or similar) and an understanding of networking
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. Proficiency in programming languages like Python and MATLAB is essential. Practical experience in data science, predictive analytics, finite-element modelling, structural analysis, and/or offshore structures is