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stakeholders and the Accreditation team. Using tools such as Excel, Power BI, Tableau and programming languages including Python, SQL or R, the Data Analyst transforms large and complex datasets into clear
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reactions, catalyst surfaces and interfaces, reaction mechanisms, activity and selectivity develop reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software
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PhD. Be able to commence the Program in the year of the offer. The ideal PhD candidate will have: A strong background in machine learning, deep learning, and software programming Proficiency in Python
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Python develop real-time applications in RTOS and embedded Linux environments undertake testing, debugging, validation and integration of software solutions with hardware and IoT systems collaborate with
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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
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interested in individuals who have worked at the crossing of programming/data science and Education, Psychology and Social Sciences or have direct teaching experience. Advanced Programming Skills (Python, SQL
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of the offer. The ideal PhD candidate will have: A strong background in machine learning, deep learning, and software programming Proficiency in Python and machine learning frameworks such as PyTorch
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have: A strong background in software security, linear algebra and software engineering Proficiency in Python and machine learning frameworks such as PyTorch (required) Knowledge of quantum computing
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learning, and software programming Proficiency in Python and machine learning frameworks such as PyTorch (required) Knowledge of quantum computing or quantum algorithms (advantageous but not essential
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. You’ll bring strong technical capability across data extraction and transformation, visualisation, database querying and automation, with experience using tools such as Python and process mapping software