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candidate will be to use a combination of CUDA, Python and C++ programming to develop CADD tools which will curate the human proteome, upgrade the group’s MoPBS software, develop new GPU enabled pharmacophore
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Communication skills, Machine learning, artificial intelligence, data science, Experience in geospatial science projects, Experience of Python 3.1x, Python machine learning libraries and Python geospatial
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such as R or Python Manage the full biomarker panning workflow, including strategic planning, operation oversight, biomolecular sample characterisation using UHPLC glycan analysis, mass spectrometry and
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or similar technical discipline. Other qualifications in disciplines related to the PhD topic will also be considered. Knowledge & Experience Essential Good mastery of Python programming Strong
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other programming skills (such as Python) would be advantageous. Experience in making research funding applications (or the capability to do so in the future) to national or international grant agencies
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in one or several of the following areas: CUDA programming, Python programming, artificial intelligence, CADD or small molecule drug discovery. - You have a strong interest in exploring novel
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communication and organisation, with demonstrable ability to meet deadlines. Confident in statistical analysis with R/Python/Matlab or similar Specific Requirements Strong research profile in field aquatic
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technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations and safety protocols, including working on research vessels
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, Data Visualisation, Network Analysis, Digital/Media Arts, and other areas which require knowledge of and the ability to teach programming languages such as JavaScript, R, or Python. Duties will include
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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