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tuberculosis (TB) screening research, spanning the evaluation of novel, high-throughput molecular tests, innovative screening algorithms, and digital health tools. A core component of the role involves
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notions of resilience have to be developed along with algorithms to check resilience of machine learning models. Research is conducted in the fields of automated reasoning, probabilistic verification, and
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sovereignty, and cyber-electromagnetic resilience. The PhD researcher will primarily work within Tilburg University’s AI research infrastructure, focusing on algorithm development, model training, and
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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
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, speech, gaze, affective dynamics and interaction patterns. This PhD project will develop personalised AI models for computational mental health by simulating the latent cognitive processes underlying
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timescales that range from slow thermal transients to rapid load swings during berthing or heavy seas. In this position, you will develop and implement modern control strategies for a shipboard nuclear reactor
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11th October 2026 Languages English English English Do you want to contribute to the development of knowledge, insight and solutions that are relevant to society and working life today and in
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reporter development, mechanobiology of cells within their microenvironment, and immunoengineering. Ultrasound imaging and devices, with demonstrated ability to conduct innovative, independent research and
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together with the successful candidate and in dialogue with the relevant academic and external research environments. Duties of the position Develop machine-learning methods for detecting, localizing
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mission in society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed