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) in FPGA design, machine learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design
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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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manufacturers and the ability to meet milestones and deadlines good analytical skills and attention to detail and ability to utilise data analytics and modelling software accordingly. Sponsorship / work rights
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" . The research will further span cutting-edge imaging technologies, single-cell sequencing, metabolomics, proteomics and experimental models ranging from human neurons to mouse and non-human primates. You will be
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, stem cell models, and nanotechnology, within a collaborative and innovative research environment. It is an exciting opportunity to be at the forefront of translational cancer research. Key
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institutional research environments proficiency in applying data science techniques, including statistical modelling and machine learning, to extract insights from diverse and complex datasets demonstrates a
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mentoring and guidance to students, role modelling effective patient interaction and care provide training and support to other academic staff on effective, innovative and contemporary clinical practice
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, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track record of publications in leading international scientific journals (Q1) and effective
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expertise in at least one of the following: geochemistry, carbonate sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track
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recognised as a leader in research, education and developing innovative models of care, with highly skilled staff and mature clinical services. It has a long and proud history of research and research