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the intersection of explainable artificial intelligence (XAI) and causal inference. Our goal is to develop AI systems that are causally understandable, such that predictions can be interpreted in terms of underlying
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of work and retention of talent (Theme 2: Action 8). The Programme for Government (2024-2027) highlights the huge pressure on health services in NI, with increasing demands predicted by 2043, and a
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. Computer science, ranging from classical programming to computational tools for engineers (data models, numerical computation, simulation, optimization), is an integral part of the curriculum. In recent years
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Develop and validate material models and performance predictions using simulation tools Integrate materials into injection moulding and extrusion processes through prototyping Collaborate with
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, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable insights that support strategic planning and financial
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learning, generalization/robustness and privacy aspects in scalable learning algorithms. Large‑scale optimization and control: Optimal control, model predictive control and other optimization‑based control
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their training and adaptation, Data modeling and quality assurance tools, Development of multi-level user interfaces, Classification and prediction models in environments with medical and health data, Explainable
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polygenic risk scores, rare variant burden scores, and integrative prediction models. Evaluate model performance and clinical utility. Identify therapeutic targets and causal risk factors for cardiovascular
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-supervised by Dirkjan Schokker Where to apply Website https://www.academictransfer.com/en/jobs/358086/phd-ai-models-to-identify-disea… Requirements Specific Requirements You are an accurate, structured, and
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predicting pollutant dispersion in complex environments like industrial sites remains difficult due to fluctuating wind conditions and obstacles. This PhD project offers a unique opportunity to develop