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outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning, computer vision, NLP, etc.) Work with structured and
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FAIR principles, combined with skills in statistical analysis, machine learning and/or data science. Experience with programming languages such as R, Python, or similar will be considered an advantage
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attached separately Where to apply Website https://www.rtu.lv/en/studies/doctoral-studies/admission-phd/application-proces… Requirements Research FieldEconomics » Business economicsEducation LevelMaster
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includes, but is not limited to: photonic data processing and communication systems; AI-driven optical signal processing and network optimisation; machine learning for photonic systems modelling, control
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, interpretable machine learning, trustworthy and responsible AI, and the integration of NLP and XAI methods into complex systems and decision-support platforms. The successful candidate is expected to develop
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incorporate clinical, lifestyle, and nutritional factors to build predictive models through advanced bioinformatics and machine learning. By identifying molecular signatures that distinguish responders from non
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accordance with FAIR principles, combined with skills in statistical analysis, machine learning and/or data science. Experience with programming languages such as R, Python, or similar will be considered
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trustworthiness of AI systems. Key research directions include (but not limited to): adversarial machine learning, data poisoning and model manipulation, secure and privacy-preserving AI, trustworthy and
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into actionable insights, novel tools, and impactful research outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning
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the design of lifelong learning courses focused on smart systems. Where to apply E-mail tenure@rtu.lv Requirements Research FieldEngineering » Electrical engineeringEducation LevelPhD or equivalent Skills