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. A masters degree in a neuroscience related discipline, experience with coding (e.g. Matlab, Python, R etc) and conducting human neuroscience experiments and analyses are desirable. If your first
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with fault detection, system reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD
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REQUIREMENTS: Master’s degree in Physics, Biomedical Imaging, or a related field Strong interest in magnetic resonance, biomedical imaging and biophysical modelling Programming skills (C++, Matlab, Python
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, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm
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independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation
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analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages), Team player with excellent communication skills and collaborative working style
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statistical analyses using Stata and Python. Review relevant academic literature and summarize findings. Prepare tables, figures, and documentation for research papers and presentations. Support other research
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written) Demonstrate interest on medical imaging domain through previous experience, courses, hackathons, personal projects or similar Strong Python knowledge and proven experience with PyTorch Previous
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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physical techniques eg laser and optical instrumentation; computational/numerical modelling programming skills eg Python, FORTRAN, C++. Eligibility Open to both UK and International applicants, including EU